Jason H. Moore

446 papers A 27B 15C 5Misc 36Journal 252Unranked 100

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ablation Study of a Fairness Auditing Agentic System for Bias Mitigation in Early-Onset Colorectal Cancer Detection. CoRR Amalia Ionescu, Jose Guadalupe Hernandez, Jui-Hsuan Chang, Emily F. Wong, Paul Wang, Jason H. Moore, Tiffani J. Bright
2026	J	`jnl`	Benchmarking large language models for identifying transcription factor regulatory interactions. Bioinform. Lake Noel, Yi-Wen Hsiao, Yimeng He, Andrew Hung, Xiaojiang Cui, Edward Ray, Jason H. Moore, Pei-Chen Peng, Xiuzhen Huang
2026	J	`jnl`	PDA in Action: Ten Principles for High-Quality Multi-Site Clinical Evidence Generation. CoRR Yong Chen, Jiayi Tong, Yiwen Lu, Rui Duan, Chongliang Luo, Marc A. Suchard, Patrick B. Ryan, Andrew E. Williams, John H. Holmes, Jason H. Moore, Hua Xu, Yun Lu, Raymond J. Carroll, Scott L. Zeger, George Hripcsak, Martijn J. Schuemie
2026	J	`jnl`	Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen
2025	J	`jnl`	A decentralized future for the open-science databases. CoRR Gaurav Sharma, Viorel Munteanu, Nika Mansouri-Ghiasi, Jineta Banerjee, Susheel Varma, Luca Foschini, Kyle Ellrott, Onur Mutlu, Dumitru Ciorba, Roel A. Ophoff, Viorel Bostan, Christopher E. Mason, Jason H. Moore, Despoina Sousoni, Arunkumar Krishnan, Mihai Dimian, Gustavo Stolovitzky, Fabio G. Liberante, Taras K. Oleksyk, Serghei Mangul
2025	J	`jnl`	A disease-specific language model for variant pathogenicity in cardiac and regulatory genomics. Nat. Mac. Intell. Huixin Zhan, Jason H. Moore, Zijun Zhang
2025	J	`jnl`	A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection. Patterns Qiong Wu, Nathan M. Pajor, Yiwen Lu, Charles J. Wolock, Jiayi Tong, Vitaly Lorman, Kevin B. Johnson, Jason H. Moore, Christopher B. Forrest, David A. Asch, Yong Chen
2025	J	`jnl`	A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis. Patterns Ruowang Li, Luke Benz, Rui Duan, Joshua C. Denny, Hakon Hakonarson, Jonathan D. Mosley, Jordan W. Smoller, Wei-Qi Wei, Thomas Lumley, Marylyn D. Ritchie, Jason H. Moore, Yong Chen
2025	J	`jnl`	AI as an accelerator for defining new problems that transcends boundaries. BioData Min. Tayo Obafemi-Ajayi, Steven F. Jennings, Yu Zhang, Kara Li Liu, Joan Peckham, Jason H. Moore
2025	—	`conf`	Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. Agentic AI/CREATE/Clinical MLLMs@MICCAI Huixin Zhan, Jason H. Moore
2025	J	`jnl`	Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. CoRR Huixin Zhan, Jason H. Moore
2025	—	`conf`	Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples. GECCO Companion Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron, Jason H. Moore
2025	J	`jnl`	Data-driven discovery of medication effects on blood glucose from electronic health records. Patterns Amanda Momenzadeh, Caleb Cranney, So Yung Choi, Catherine Bresee, Mourad Tighiouart, Roma Gianchandani, Joshua M. Pevnick, Jason H. Moore, Jesse G. Meyer
2025	J	`jnl`	Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph. BioData Min. Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore
2025	J	`jnl`	ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning. Bioinform. Nicholas Matsumoto, Hyunjun Choi, Jay Moran, Miguel E. Hernandez, Mythreye Venkatesan, Xi Li, Jui-Hsuan Chang, Zhiping Paul Wang, Jason H. Moore
2025	—	`conf`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs. BCB Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs. CoRR Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2025	J	`jnl`	Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling. BioData Min. Xi Li, Jui-Hsuan Chang, Mythreye Venkatesan, Zhiping Paul Wang, Jason H. Moore
2025	B	`conf`	Ethics vs. Regulation: Converging Frameworks for Trustworthy Human-Centered AI in Biomedical Research. IJCNN Tayo Obafemi-Ajayi, Tiffani J. Bright, Emily F. Wong, Donald Wunsch, Joan Peckham, Jason H. Moore
2025	—	`conf`	Evaluating the Generalizability of Machine Learning Pipelines When Using Lexicase or Tournament Selection. GECCO Companion Jose Guadalupe Hernandez, Anil Kumar Saini, Ankit Gupta, Jason H. Moore
2025	J	`jnl`	Evolved SampleWeights for Bias Mitigation: Effectiveness Depends on Optimization Objectives. CoRR Anil Kumar Saini, Jose Guadalupe Hernandez, Emily F. Wong, Debanshi Misra, Jason H. Moore
2025	J	`jnl`	From prompt engineering to agent engineering: expanding the AI toolbox with autonomous agentic AI collaborators for biomedical discovery. BioData Min. Jason H. Moore, Nicholas P. Tatonetti
2025	J	`jnl`	GP and LLMs for Program Synthesis: No Clear Winners. CoRR Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron, Jason H. Moore
2025	J	`jnl`	Integrative multi-omics study identifies sex-specific molecular signatures and immune modulation in bladder cancer. Frontiers Bioinform. Yizhou Wang, Priyanka Bhandary, Kevin Griffin, Jason H. Moore, Xue Li, Zhiping Paul Wang
2025	J	`jnl`	Is AI overhyped? Patterns Jason H. Moore, Anand K. Gavai, Yingji Xia, Mohammadamin Mahmanzar, Youping Deng
2025	J	`jnl`	Mapping GLAMs: creating a national dataset of GLAMs to develop a categorical climate-change risk assessment scale. Inf. Res. Edward Benoit III, Jill C. Trepanier, Jennifer Vanos, Emily Fisher, Kaitlyn Bailey, Annie Waddell, Jason H. Moore, Mandy Hatman, Mary Sidwell, Symonne Russell, Virginia Seger, Paige Boutte, Amanda Latta, Zoe Mohammad, Kyriel Felton, Erin Deliman, Breanna Benson-Pearce, Wendy Johnson, Allyson Russell, Baillie Pretzer, Christopher Reeder, Melissa McConnell, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Gwen L. Wells, Benjamin A. Teincuff, Jason M. Straight, Tiffany Rockwell, Shane T. Manthei, Jennifer L. Benner, Jane Fiegel, Amanda Lima, Elizabeth Rininger, Caroline Melinger, Deborah Metz-Andrews, Meryl Roepke, Karen Isaac, Mallory Collins
2025	—	`conf`	Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. ICCVW Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2025	J	`jnl`	SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models. CoRR Huixin Zhan, Jason H. Moore
2025	J	`jnl`	StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis. CoRR Jose Guadalupe Hernandez, Attri Ghosh, Philip J. Freda, Yufei Meng, Nicholas Matsumoto, Jason H. Moore
2025	J	`jnl`	The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning. Patterns Jose Guadalupe Hernandez, Anil Kumar Saini, Attri Ghosh, Jason H. Moore
2025	J	`jnl`	Vibe coding: a new paradigm for biomedical software development. BioData Min. Jason H. Moore, Nicholas P. Tatonetti
2024	J	`jnl`	A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection. Patterns Qiong Wu, Nathan M. Pajor, Yiwen Lu, Charles J. Wolock, Jiayi Tong, Vitaly Lorman, Kevin B. Johnson, Jason H. Moore, Christopher B. Forrest, David A. Asch, Yong Chen
2024	J	`jnl`	A review of feature selection strategies utilizing graph data structures and Knowledge Graphs. Briefings Bioinform. Sisi Shao, Pedro Henrique Ribeiro, Christina M. Ramirez, Jason H. Moore
2024	J	`jnl`	A review of feature selection strategies utilizing graph data structures and knowledge graphs. CoRR Sisi Shao, Pedro Henrique Ribeiro, Christina M. Ramirez, Jason H. Moore
2024	J	`jnl`	Advancing LGBTQ+ inclusion in STEM education and AI research. Patterns Emily F. Wong, Ryan J. Urbanowicz, Tiffani J. Bright, Nicholas P. Tatonetti, Yi-Wen Hsiao, Xiuzhen Huang, Jason H. Moore, Pei-Chen Peng
2024	J	`jnl`	Assessing the limitations of relief-based algorithms in detecting higher-order interactions. BioData Min. Philip J. Freda, Suyu Ye, Robert Zhang, Jason H. Moore, Ryan J. Urbanowicz
2024	J	`jnl`	Coevolving Artistic Images Using OMNIREP. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2024	J	`jnl`	Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis. BioData Min. Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu
2024	J	`jnl`	Genetic Programming Theory and Practice: A Fifteen-Year Trajectory. CoRR Moshe Sipper, Jason H. Moore
2024	J	`jnl`	Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis. BioData Min. Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore
2024	J	`jnl`	Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
2024	J	`jnl`	KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models. Bioinform. Nicholas Matsumoto, Jay Moran, Hyunjun Choi, Miguel E. Hernandez, Mythreye Venkatesan, Zhiping Paul Wang, Jason H. Moore
2024	J	`jnl`	Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs. CoRR Tianqi Shang, Shu Yang, Weiqing He, Tianhua Zhai, Dawei Li, Bojian Hou, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2024	J	`jnl`	Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics. CoRR Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
2024	—	`conf`	Lexidate: Model Evaluation and Selection with Lexicase. GECCO Companion Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
2024	J	`jnl`	Lexidate: Model Evaluation and Selection with Lexicase. CoRR Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
2024	J	`jnl`	New Pathways in Coevolutionary Computation. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2024	J	`jnl`	PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies. BioData Min. Philip J. Freda, Attri Ghosh, Priyanka Bhandary, Nicholas Matsumoto, Apurva S. Chitre, Jiayan Zhou, Molly A. Hall, Abraham A. Palmer, Tayo Obafemi-Ajayi, Jason H. Moore
2024	J	`jnl`	Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies. CoRR Yu-Ning Huang, Michael I. Love, Cynthia Flaire Ronkowski, Dhrithi Deshpande, Lynn M. Schriml, Annie Wong-Beringer, Barend Mons, Russell Corbett-Detig, Christopher I. Hunter, Jason H. Moore, Lana X. Garmire, T. B. K. Reddy, Winston A. Hide, Atul J. Butte, Mark D. Robinson, Serghei Mangul
2024	A	`conf`	Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis. GECCO Alexa A. Woodward, Harsh Bandhey, Jason H. Moore, Ryan J. Urbanowicz
2024	J	`jnl`	Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
2024	J	`jnl`	Using GPT-4 to write a scientific review article: a pilot evaluation study. BioData Min. Zhiping Paul Wang, Priyanka Bhandary, Yizhou Wang, Jason H. Moore
2023	J	`jnl`	A flexible symbolic regression method for constructing interpretable clinical prediction models. npj Digit. Medicine William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman
2023	J	`jnl`	Aliro: an automated machine learning tool leveraging large language models. Bioinform. Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore
2023	J	`jnl`	Automated quantitative trait locus analysis (AutoQTL). BioData Min. Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore
2023	J	`jnl`	ChatGPT and large language models in academia: opportunities and challenges. BioData Min. Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore
2023	—	`conf`	Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
2023	—	`conf`	Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
2023	B	`conf`	Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. EuroGP Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore
2023	J	`jnl`	Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning. CoRR Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore
2023	J	`jnl`	Genetics and precision health: the ecological fallacy and artificial intelligence solutions. BioData Min. Scott M. Williams, Jason H. Moore
2023	J	`jnl`	Is the evolution metaphor still necessary or even useful for genetic programming? Genet. Program. Evolvable Mach. Jason H. Moore
2023	J	`jnl`	LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes. BioData Min. Abdulrahman Alasiri, Konrad J. Karczewski, Brian S. Cole, Bao-Li Loza, Jason H. Moore, Sander W. Van der Laan, Folkert W. Asselbergs, Brendan J. Keating, Jessica van Setten
2023	J	`jnl`	STAR_outliers: a python package that separates univariate outliers from non-normal distributions. BioData Min. John T. Gregg, Jason H. Moore
2023	—	`conf`	TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning. GPTP Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore
2023	J	`jnl`	Ten simple rules for managing laboratory information. PLoS Comput. Biol. Casey-Tyler Berezin, Luis U. Aguilera, Sonja Billerbeck, Philip E. Bourne, Douglas Densmore, Paul S. Freemont, Thomas E. Gorochowski, Sarah I. Hernandez, Nathan J. Hillson, Connor R. King, Michael Köpke, Shuyi Ma, Katie M. Miller, Tae Seok Moon, Jason H. Moore, Brian Munsky, Chris J. Myers, Dequina A. Nicholas, Samuel J. Peccoud, Wen Zhou, Jean Peccoud
2022	—	`conf`	A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. GECCO Companion Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost B. Wagenaar
2022	J	`jnl`	A manifesto on explainability for artificial intelligence in medicine. Artif. Intell. Medicine Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes
2022	J	`jnl`	Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems. CoRR Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost B. Wagenaar, Jason H. Moore
2022	J	`jnl`	Applying autonomous hybrid agent-based computing to difficult optimization problems. J. Comput. Sci. Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost B. Wagenaar, Jason H. Moore
2022	J	`jnl`	Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE). CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2022	J	`jnl`	Benchmarking AutoML algorithms on a collection of synthetic classification problems. CoRR Pedro Henrique Ribeiro, Patryk Orzechowski, Joost B. Wagenaar, Jason H. Moore
2022	J	`jnl`	Benchmarking AutoML frameworks for disease prediction using medical claims. BioData Min. Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore
2022	J	`jnl`	Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. BioData Min. Alexa A. Woodward, Deanne M. Taylor, Elizabeth Goldmuntz, Laura E. Mitchell, A. J. Agopian, Jason H. Moore, Ryan J. Urbanowicz
2022	J	`jnl`	Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. Elisabetta Manduchi, Trang T. Le, Weixuan Fu, Jason H. Moore
2022	J	`jnl`	Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns Yun Hao, Joseph D. Romano, Jason H. Moore
2022	J	`jnl`	Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
2022	J	`jnl`	Novel digital approaches to the assessment of problematic opioid use. BioData Min. Philip J. Freda, Henry R. Kranzler, Jason H. Moore
2022	J	`jnl`	PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. Bioinform. Joseph D. Romano, Trang T. Le, William G. La Cava, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
2022	—	`conf`	Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
2022	J	`jnl`	Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2022	J	`jnl`	Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2022	J	`jnl`	Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection. IEEE ACM Trans. Comput. Biol. Bioinform. Jason L. Causey, Keyu Li, Xianghao Chen, Wei Dong, Karl Walker, Jake A. Qualls, Jonathan W. Stubblefield, Jason H. Moore, Yuanfang Guan, Xiuzhen Huang
2022	J	`jnl`	SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai
2022	J	`jnl`	Symbolic-Regression Boosting. CoRR Moshe Sipper, Jason H. Moore
2021	J	`jnl`	A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions. BioData Min. Alena Orlenko, Jason H. Moore
2021	J	`jnl`	A semantic genetic programming framework based on dynamic targets. Genet. Program. Evolvable Mach. Stefano Ruberto, Valerio Terragni, Jason H. Moore
2021	J	`jnl`	Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims. CoRR Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore
2021	—	`conf`	Contemporary Symbolic Regression Methods and their Relative Performance. NeurIPS Datasets and Benchmarks William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
2021	J	`jnl`	Contemporary Symbolic Regression Methods and their Relative Performance. CoRR William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
2021	J	`jnl`	EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia. CoRR Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
2021	—	`conf`	EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia. GECCO Companion Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
2021	J	`jnl`	Empowering the data science scientist. BioData Min. Jason H. Moore
2021	J	`jnl`	Evaluating recommender systems for AI-driven biomedical informatics. Bioinform. William G. La Cava, Heather Williams, Weixuan Fu, Steven Vitale, Durga Srivatsan, Jason H. Moore
2021	J	`jnl`	Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers. CoRR Patryk Orzechowski, Jason H. Moore
2021	J	`jnl`	Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS). npj Digit. Medicine Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore
2021	J	`jnl`	REGENS: an open source Python package for simulating realistic autosomal genotypes. J. Open Source Softw. John T. Gregg, Trang T. Le, Jason H. Moore
2021	Misc	`conf`	Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare. PSB Carly A. Bobak, Marek Svoboda, Kristine A. Giffin, Dennis P. Wall, Jason H. Moore
2021	—	`conf`	Rapid prototyping of evolution-driven biclustering methods in Julia. GECCO Companion Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
2021	—	`conf`	Socio-cognitive Evolution Strategies. ICCS (2) Aleksandra Urbanczyk, Bartosz Nowak, Patryk Orzechowski, Jason H. Moore, Marek Kisiel-Dorohinicki, Aleksander Byrski
2021	J	`jnl`	Symbolic-regression boosting. Genet. Program. Evolvable Mach. Moshe Sipper, Jason H. Moore
2021	J	`jnl`	TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. Genet. Program. Evolvable Mach. Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2021	J	`jnl`	TargetTox: A Feature Selection Pipeline for Identifying Predictive Targets Associated with Drug Toxicity. J. Chem. Inf. Model. Yun Hao, Jason H. Moore
2021	J	`jnl`	Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science. BioData Min. Jason H. Moore, Van Q. Truong, Ashley B. Robbins, David Nicholson, Clar Lynda Williams-Devane
2021	A	`conf`	Towards effective GP multi-class classification based on dynamic targets. GECCO Stefano Ruberto, Valerio Terragni, Jason H. Moore
2021	Misc	`conf`	Translational Bioinformatics: Integrating Electronic Health Record and Omics Data. PSB Dokyoon Kim, Ju Han Kim, Jason H. Moore
2021	J	`jnl`	Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. J. Am. Medical Informatics Assoc. Subha Madhavan, Lisa Bastarache, Jeffrey S. Brown, Atul J. Butte, David A. Dorr, Peter J. Embí, Charles P. Friedman, Kevin B. Johnson, Jason H. Moore, Isaac S. Kohane, Philip R. O. Payne, Jessica D. Tenenbaum, Mark G. Weiner, Adam B. Wilcox, Lucila Ohno-Machado
2021	J	`jnl`	Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy
2021	J	`jnl`	treeheatr: an R package for interpretable decision tree visualizations. Bioinform. Trang T. Le, Jason H. Moore
2020	J	`jnl`	A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments. CoRR Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch
2020	J	`jnl`	A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients. J. Am. Medical Informatics Assoc. Lingjiao Zhang, Xiruo Ding, Yanyuan Ma, Naveen Muthu, Imran Ajmal, Jason H. Moore, Daniel S. Herman, Jinbo Chen
2020	J	`jnl`	An augmented estimation procedure for EHR-based association studies accounting for differential misclassification. J. Am. Medical Informatics Assoc. Jiayi Tong, Jing Huang, Jessica Chubak, Xuan Wang, Jason H. Moore, Rebecca A. Hubbard, Yong Chen
2020	B	`conf`	Benchmarking Manifold Learning Methods on a Large Collection of Datasets. EuroGP Patryk Orzechowski, Franciszek Magiera, Jason H. Moore
2020	J	`jnl`	Benchmarking in Optimization: Best Practice and Open Issues. CoRR Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise
2020	C	`conf`	Coevolving Artistic Images Using OMNIREP. EvoMUSART Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2020	J	`jnl`	Conservation machine learning. BioData Min. Moshe Sipper, Jason H. Moore
2020	J	`jnl`	Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinform. Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
2020	—	`conf`	Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions. BIOINFORMATICS Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore
2020	—	`conf`	Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions. BIOINFORMATICS Trang T. Le, Hoyt Gong, Patryk Orzechowski, Elisabetta Manduchi, Jason H. Moore
2020	Misc	`conf`	Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future. AMIA John H. Holmes, Riccardo Bellazzi, Carlo Combi, Jason H. Moore, Niels Peek
2020	—	`conf`	Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic. HEALTHINF Nadia M. Penrod, Selah F. Lynch, Jason H. Moore
2020	J	`jnl`	Gamorithm. IEEE Trans. Games Moshe Sipper, Jason H. Moore
2020	A	`conf`	Genetic programming approaches to learning fair classifiers. GECCO William G. La Cava, Jason H. Moore
2020	J	`jnl`	Genetic programming approaches to learning fair classifiers. CoRR William G. La Cava, Jason H. Moore
2020	J	`jnl`	Genetic programming theory and practice: a fifteen-year trajectory. Genet. Program. Evolvable Mach. Moshe Sipper, Jason H. Moore
2020	Misc	`conf`	Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS. AMIA Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore
2020	J	`jnl`	How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases. Artif. Life Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi
2020	J	`jnl`	Ideas for how informaticians can get involved with COVID-19 research. BioData Min. Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes
2020	—	`conf`	Image Feature Learning with Genetic Programming. PPSN (2) Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020	—	`conf`	Image feature learning with a genetic programming autoencoder. GECCO Companion Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020	J	`jnl`	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Estève, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane
2020	J	`jnl`	Is deep learning necessary for simple classification tasks? CoRR Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
2020	—	`conf`	Large scale biomedical data analysis with tree-based automated machine learning. GECCO Companion Trang T. Le, Weixuan Fu, Jason H. Moore
2020	J	`jnl`	Learning feature spaces for regression with genetic programming. Genet. Program. Evolvable Mach. William G. La Cava, Jason H. Moore
2020	J	`jnl`	Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. J. Am. Medical Informatics Assoc. Rui Duan, Mary Regina Boland, Zixuan Liu, Yue Liu, Howard H. Chang, Hua Xu, Haitao Chu, Christopher H. Schmid, Christopher B. Forrest, John H. Holmes, Martijn J. Schuemie, Jesse A. Berlin, Jason H. Moore, Yong Chen
2020	J	`jnl`	Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J. Am. Medical Informatics Assoc. Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen
2020	J	`jnl`	Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Bioinform. Alena Orlenko, Daniel Kofink, Leo-Pekka Lyytikäinen, Kjell Nikus, Pashupati P. Mishra, Pekka Kuukasjärvi, Pekka J. Karhunen, Mika Kähönen, Jari O. Laurikka, Terho Lehtimäki, Folkert W. Asselbergs, Jason H. Moore
2020	J	`jnl`	PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. CoRR Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
2020	J	`jnl`	Regional imaging genetic enrichment analysis. Bioinform. Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2020	Misc	`conf`	Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData. PSB Jiayi Tong, Rui Duan, Ruowang Li, Martijn J. Scheuemie, Jason H. Moore, Yong Chen
2020	B	`conf`	SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. EuroGP Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020	J	`jnl`	SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. CoRR Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020	—	`conf`	SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. GECCO Companion Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020	J	`jnl`	Scaling tree-based automated machine learning to biomedical big data with a feature set selector. Bioinform. Trang T. Le, Weixuan Fu, Jason H. Moore
2020	J	`jnl`	Ten important roles for academic leaders in data science. BioData Min. Jason H. Moore
2020	J	`jnl`	Ten simple rules for writing a paper about scientific software. PLoS Comput. Biol. Joseph D. Romano, Jason H. Moore
2020	Misc	`conf`	Translational Bioinformatics: Biobanks in the Precision Medicine Era. PSB Marylyn D. Ritchie, Jason H. Moore, Ju Han Kim
2020	J	`jnl`	WellExplorer: an integrative resource linking hydraulic fracturing chemicals with hormonal pathways and geographic location. Database J. Biol. Databases Curation Owen Wetherbee, Jessica R. Meeker, Caroline Devoto, Trevor M. Penning, Jason H. Moore, Mary Regina Boland
2019	J	`jnl`	A Probabilistic and Multi-Objective Analysis of Lexicase Selection and ε-Lexicase Selection. Evol. Comput. William G. La Cava, Thomas Helmuth, Lee Spector, Jason H. Moore
2019	J	`jnl`	A regression framework to uncover pleiotropy in large-scale electronic health record data. J. Am. Medical Informatics Assoc. Ruowang Li, Rui Duan, Daniel J. Rader, Scott M. Damrauer, Jason H. Moore, Yong Chen
2019	J	`jnl`	Artificial Intelligence Based Approaches to Identify Molecular Determinants of Exceptional Health and Life Span-An Interdisciplinary Workshop at the National Institute on Aging. Frontiers Artif. Intell. Jason H. Moore, Nalini Raghavachari
2019	J	`jnl`	Automated discovery of test statistics using genetic programming. Genet. Program. Evolvable Mach. Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
2019	J	`jnl`	Comparing drug safety of hepatitis C therapies using post-market data. BMC Medical Informatics Decis. Mak. Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Cui Tao, Yong Chen
2019	J	`jnl`	Correction to: Investigating the parameter space of evolutionary algorithms. BioData Min. Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2019	—	`conf`	Discovering test statistics using genetic programming. GECCO (Companion) Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper
2019	—	`conf`	EBIC: a scalable biclustering method for large scale data analysis. GECCO (Companion) Patryk Orzechowski, Jason H. Moore
2019	J	`jnl`	EBIC: an open source software for high-dimensional and big data analyses. Bioinform. Patryk Orzechowski, Jason H. Moore
2019	J	`jnl`	Evaluating recommender systems for AI-driven data science. CoRR William G. La Cava, Heather Williams, Weixuan Fu, Jason H. Moore
2019	J	`jnl`	Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies. BioData Min. Elisabetta Manduchi, Patryk Orzechowski, Marylyn D. Ritchie, Jason H. Moore
2019	—	`ch.`	Gene-Gene Interactions: An Essential Component to Modeling Complexity for Precision Medicine. Encyclopedia of Bioinformatics and Computational Biology (2) Molly A. Hall, Brian S. Cole, Jason H. Moore
2019	J	`jnl`	Integration of genetic and clinical information to improve imputation of data missing from electronic health records. J. Am. Medical Informatics Assoc. Ruowang Li, Yong Chen, Jason H. Moore
2019	Misc	`conf`	Interpretation of machine learning predictions for patient outcomes in electronic health records. AMIA William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass
2019	J	`jnl`	Interpretation of machine learning predictions for patient outcomes in electronic health records. CoRR William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass
2019	—	`conf`	Learning concise representations for regression by evolving networks of trees. ICLR (Poster) William G. La Cava, Tilak Raj Singh, James Taggart, Srinivas Suri, Jason H. Moore
2019	—	`conf`	Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. BHI Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
2019	—	`conf`	Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data? GECCO (Companion) Patryk Orzechowski, Jason H. Moore
2019	J	`jnl`	Multidimensional genetic programming for multiclass classification. Swarm Evol. Comput. William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
2019	—	`conf`	New Pathways in Coevolutionary Computation. GPTP Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2019	Misc	`conf`	ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. PSB Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen
2019	J	`jnl`	OMNIREP: originating meaning by coevolving encodings and representations. Memetic Comput. Moshe Sipper, Jason H. Moore
2019	Misc	`conf`	Reading between the genes: interpreting non-coding DNA in high-throughput. PSB Joanne Berghout, Yves A. Lussier, Francesca Vitali, Martha L. Bulyk, Maricel G. Kann, Jason H. Moore
2019	J	`jnl`	STatistical Inference Relief (STIR) feature selection. Bioinform. Trang T. Le, Ryan J. Urbanowicz, Jason H. Moore, Brett A. McKinney
2019	A	`conf`	Semantic variation operators for multidimensional genetic programming. GECCO William G. La Cava, Jason H. Moore
2019	J	`jnl`	Semantic variation operators for multidimensional genetic programming. CoRR William G. La Cava, Jason H. Moore
2019	B	`conf`	Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CEC Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2019	B	`conf`	Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. EuroGP Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2019	—	`conf`	Strategies for improving performance of evolutionary biclustering algorithm EBIC. GECCO (Companion) Patryk Orzechowski, Jason H. Moore
2019	—	`ch.`	TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning. Automated Machine Learning Randal S. Olson, Jason H. Moore
2019	Misc	`conf`	Translational informatics of population Health: How large biomolecular and clinical datasets unite. PSB Yves A. Lussier, Atul J. Butte, Haiquan Li, Rong Chen, Jason H. Moore
2019	—	`conf`	Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. MedInfo Yancy Lo, Selah F. Lynch, Ryan J. Urbanowicz, Randal S. Olson, Ashley Z. Ritter, Christina R. Whitehouse, Melissa O'Connor, Susan K. Keim, Margaret V. McDonald, Jason H. Moore, Kathryn H. Bowles
2018	Misc	`conf`	A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods. PSB Jason H. Moore, Maksim Shestov, Peter Schmitt, Randal S. Olson
2018	—	`conf`	A multidimensional genetic programming approach for identifying epsistatic gene interactions. GECCO (Companion) William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore
2018	—	`conf`	An analysis of ϵ-lexicase selection for large-scale many-objective optimization. GECCO (Companion) William G. La Cava, Jason H. Moore
2018	A	`conf`	Attribute tracking: strategies towards improved detection and characterization of complex associations. GECCO Ryan J. Urbanowicz, Christopher Lo, John H. Holmes, Jason H. Moore
2018	C	`conf`	Behavioral search drivers and the role of elitism in soft robotics. ALIFE William G. La Cava, Jason H. Moore
2018	J	`jnl`	Benchmarking relief-based feature selection methods for bioinformatics data mining. J. Biomed. Informatics Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore
2018	J	`jnl`	Collective feature selection to identify crucial epistatic variants. BioData Min. Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie
2018	—	`conf`	Comparing adverse effects of Hepatitis C drugs using FAERS data. BIBM Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao
2018	Misc	`conf`	Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. PSB Alena Orlenko, Jason H. Moore, Patryk Orzechowski, Randal S. Olson, Junmei Cairns, Pedro J. Caraballo, Richard M. Weinshilboum, Liewei Wang, Matthew K. Breitenstein
2018	Misc	`conf`	Data-driven advice for applying machine learning to bioinformatics problems. PSB Randal S. Olson, William G. La Cava, Zairah Mustahsan, Akshay Varik, Jason H. Moore
2018	—	`conf`	EBIC: a next-generation evolutionary-based parallel biclustering method. GECCO (Companion) Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore
2018	J	`jnl`	EBIC: an artificial intelligence-based parallel biclustering algorithm for pattern discovery. CoRR Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore
2018	J	`jnl`	EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. Bioinform. Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore
2018	J	`jnl`	EBIC: an open source software for high-dimensional and big data biclustering analyses. CoRR Patryk Orzechowski, Jason H. Moore
2018	J	`jnl`	Eleven quick tips for architecting biomedical informatics workflows with cloud computing. PLoS Comput. Biol. Brian S. Cole, Jason H. Moore
2018	—	`conf`	Evolutionary computation: an investigation of parameter space. GECCO (Companion) Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2018	J	`jnl`	GPU Accelerated Browser for Neuroimaging Genomics. Neuroinformatics Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2018	J	`jnl`	Gamorithm. CoRR Moshe Sipper, Jason H. Moore
2018	—	`ch.`	Grammatical Evolution Strategies for Bioinformatics and Systems Genomics. Handbook of Grammatical Evolution Jason H. Moore, Moshe Sipper
2018	C	`conf`	How computational thought experiments can improve our understanding of the genetic architecture of common human diseases. ALIFE Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi
2018	J	`jnl`	Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV). BioData Min. Elizabeth R. Piette, Jason H. Moore
2018	J	`jnl`	Investigating the parameter space of evolutionary algorithms. BioData Min. Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2018	Misc	`conf`	Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS. PSB Elisabetta Manduchi, Alessandra Chesi, Molly A. Hall, Struan F. A. Grant, Jason H. Moore
2018	Misc	`conf`	Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database. PSB Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore
2018	J	`jnl`	Medication class enrichment analysis: a novel algorithm to analyze multiple pharmacologic exposures simultaneously using electronic health record data. J. Am. Medical Informatics Assoc. Ravy K. Vajravelu, Frank I. Scott, Ronac Mamtani, Hongzhe Li, Jason H. Moore, James D. Lewis
2018	J	`jnl`	PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data. J. Am. Medical Informatics Assoc. Jing Huang, Rui Duan, Rebecca A. Hubbard, Yonghui Wu, Jason H. Moore, Hua Xu, Yong Chen
2018	J	`jnl`	Relief-based feature selection: Introduction and review. J. Biomed. Informatics Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore
2018	—	`conf`	Retrieving Impressions from Semantic Memory Modeled with Associative Pulsing Neural Networks. SSCI Patryk Orzechowski, Adrian Horzyk, Janusz A. Starzyk, Jason H. Moore
2018	Misc	`conf`	Session Introduction. PSB Yves A. Lussier, Joanne Berghout, Francesca Vitali, Kenneth S. Ramos, Maricel G. Kann, Jason H. Moore
2018	J	`jnl`	Stochastic optimization approaches to learning concise representations. CoRR William G. La Cava, Tilak Raj Singh, James Taggart, Srinivas Suri, Jason H. Moore
2018	J	`jnl`	To know the objective is not (necessarily) to know the objective function. BioData Min. Moshe Sipper, Ryan J. Urbanowicz, Jason H. Moore
2018	J	`jnl`	Where are we now? A large benchmark study of recent symbolic regression methods. CoRR Patryk Orzechowski, William G. La Cava, Jason H. Moore
2018	A	`conf`	Where are we now?: a large benchmark study of recent symbolic regression methods. GECCO Patryk Orzechowski, William G. La Cava, Jason H. Moore
2018	J	`jnl`	runibic: a Bioconductor package for parallel row-based biclustering of gene expression data. Bioinform. Patryk Orzechowski, Artur Panszczyk, Xiuzhen Huang, Jason H. Moore
2017	J	`jnl`	$ε$-Lexicase selection: a probabilistic and multi-objective analysis of lexicase selection in continuous domains. CoRR William G. La Cava, Thomas Helmuth, Lee Spector, Jason H. Moore
2017	B	`conf`	A General Feature Engineering Wrapper for Machine Learning Using \epsilon -Lexicase Survival. EuroGP William G. La Cava, Jason H. Moore
2017	—	`conf`	A System for Accessible Artificial Intelligence. GPTP Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J. Urbanowicz, John H. Holmes, Jason H. Moore
2017	J	`jnl`	A System for Accessible Artificial Intelligence. CoRR Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, John H. Holmes, Jason H. Moore
2017	J	`jnl`	Artificial intelligence: more human with human. BioData Min. Moshe Sipper, Jason H. Moore
2017	J	`jnl`	Benchmarking Relief-Based Feature Selection Methods. CoRR Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore
2017	—	`conf`	Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data. MedInfo Jing Huang, Xinyuan Zhang, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Yong Chen, Cui Tao
2017	J	`jnl`	Data-driven Advice for Applying Machine Learning to Bioinformatics Problems. CoRR Randal S. Olson, William G. La Cava, Zairah Mustahsan, Akshay Varik, Jason H. Moore
2017	J	`jnl`	Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree, Nathan Pankratz, Antoinette Amuzu, Amber Burt, Caroline Dale, Scott M. Dudek, Clement E. Furlong, Tom R. Gaunt, Daniel Seung Kim, Helene Riess, Suthesh Sivapalaratnam, Vinicius Tragante, Erik P. A. van Iperen, Ariel Brautbar, David S. Carrell, David R. Crosslin, Gail P. Jarvik, Helena Kuivaniemi, Iftikhar J. Kullo, Eric B. Larson, Laura J. Rasmussen-Torvik, Gerard Tromp, Jens Baumert, Karen J. Cruickshanks, Martin Farrall, Aroon D. Hingorani, G. K. Hovingh, Marcus E. Kleber, Barbara E. Klein, Ronald Klein, Wolfgang Koenig, Leslie A. Lange, Winfried März, Kari E. North, N. Charlotte Onland-Moret, Alex P. Reiner, Philippa J. Talmud, Yvonne T. van der Schouw, James G. Wilson, Mika Kivimäki, Meena Kumari, Jason H. Moore, Fotios Drenos, Folkert W. Asselbergs, Brendan J. Keating, Marylyn D. Ritchie
2017	—	`conf`	EVE: Cloud-Based Annotation of Human Genetic Variants. EvoApplications (1) Brian S. Cole, Jason H. Moore
2017	A	`conf`	Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods. GECCO William G. La Cava, Jason H. Moore
2017	J	`jnl`	Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods. CoRR William G. La Cava, Jason H. Moore
2017	J	`jnl`	Evolutionary computation: the next major transition of artificial intelligence? BioData Min. Moshe Sipper, Randal S. Olson, Jason H. Moore
2017	J	`jnl`	From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. CoRR Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore
2017	J	`jnl`	Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype. BioData Min. Vinicius Tragante, Johannes M. I. H. Gho, Janine F. Felix, Ramachandran S. Vasan, Nicholas L. Smith, Benjamin F. Voight, Colin Palmer, Pim van der Harst, Jason H. Moore, Folkert W. Asselbergs
2017	—	`conf`	Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification. EvoApplications (1) William G. La Cava, Sara Silva, Leonardo Vanneschi, Lee Spector, Jason H. Moore
2017	J	`jnl`	Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases. BioData Min. Jason H. Moore, Peter C. Andrews, Randal S. Olson, Sarah E. Carlson, Curt Larock, Mario J. Bulhoes, James P. O'Connor, Ellen M. Greytak, Steven Armentrout
2017	—	`conf`	Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods. EvoApplications (1) Elizabeth R. Piette, Jason H. Moore
2017	J	`jnl`	Methods for enhancing the reproducibility of biomedical research findings using electronic health records. BioData Min. Spiros C. Denaxas, Kenan Direk, Arturo Gonzalez-Izquierdo, Maria Pikoula, Sera Aylin Cakiroglu, Jason H. Moore, Harry Hemingway, Liam Smeeth
2017	Misc	`conf`	Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders. PSB Brett K. Beaulieu-Jones, Jason H. Moore, et al.
2017	J	`jnl`	Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery. BioData Min. Nathaniel Crabtree, Jason H. Moore, John F. Bowyer, Nysia I. George
2017	Misc	`conf`	Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. ICASSP Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	Misc	`conf`	No-Boundary Thinking in Bioinformatics. PSB Jason H. Moore, Steven F. Jennings, Casey S. Greene, Lawrence E. Hunter, Andy D. Perkins, ClarLynda R. Williams-DeVane, Donald C. Wunsch, Zhongming Zhao, Xiuzhen Huang
2017	J	`jnl`	PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison. CoRR Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
2017	J	`jnl`	PMLB: a large benchmark suite for machine learning evaluation and comparison. BioData Min. Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
2017	—	`conf`	Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System. GPTP Ryan J. Urbanowicz, Ben Yang, Jason H. Moore
2017	J	`jnl`	Relief-Based Feature Selection: Introduction and Review. CoRR Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore
2017	Misc	`conf`	The Training of Next Generation Data Scientists in Biomedicine. PSB Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn
2017	J	`jnl`	Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinform. Xiaohui Yao, Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Casey S. Greene, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	A	`conf`	Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. GECCO Andrew Sohn, Randal S. Olson, Jason H. Moore
2017	J	`jnl`	Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. CoRR Andrew Sohn, Randal S. Olson, Jason H. Moore
2017	J	`jnl`	Two-dimensional enrichment analysis for mining high-level imaging genetic associations. Brain Informatics Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2017	J	`jnl`	Variant Set Enrichment: an R package to identify disease-associated functional genomic regions. BioData Min. Musaddeque Ahmed, Richard C. Sallari, Haiyang Guo, Jason H. Moore, Housheng H. He, Mathieu Lupien
2016	J	`jnl`	A call for biological data mining approaches in epidemiology. BioData Min. Shannon M. Lynch, Jason H. Moore
2016	J	`jnl`	Adapting bioinformatics curricula for big data. Briefings Bioinform. Anna C. Greene, Kristine A. Giffin, Casey S. Greene, Jason H. Moore
2016	Misc	`conf`	An Integrated Network Approach to Identifying Biological Pathways and Environmental Exposure Interactions in Complex Diseases. PSB Christian Darabos, Jingya Qiu, Jason H. Moore
2016	—	`conf`	Automating Biomedical Data Science Through Tree-Based Pipeline Optimization. EvoApplications (1) Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore
2016	J	`jnl`	Automating biomedical data science through tree-based pipeline optimization. CoRR Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore
2016	—	`conf`	Bicliques in Graphs with Correlated Edges: From Artificial to Biological Networks. EvoApplications (1) Aaron Kershenbaum, Alicia Cutillo, Christian Darabos, Keitha A. Murray, Robert Schiaffino, Jason H. Moore
2016	J	`jnl`	Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies. BioData Min. Samantha Cheng, Angeline S. Andrew, Peter C. Andrews, Jason H. Moore
2016	J	`jnl`	Considerations for higher efficiency and productivity in research activities. BioData Min. Diego A. Forero, Jason H. Moore
2016	J	`jnl`	Detecting gene-gene interactions using a permutation-based random forest method. BioData Min. Jing Li, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2016	J	`jnl`	Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology. BioData Min. Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore
2016	A	`conf`	Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. GECCO Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore
2016	J	`jnl`	Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. CoRR Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore
2016	A	`conf`	Evolution of Active Categorical Image Classification via Saccadic Eye Movement. PPSN Randal S. Olson, Jason H. Moore, Christoph Adami
2016	J	`jnl`	Evolution of active categorical image classification via saccadic eye movement. CoRR Randal S. Olson, Jason H. Moore, Christoph Adami
2016	J	`jnl`	Evolutionary triangulation: informing genetic association studies with evolutionary evidence. BioData Min. Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis J. Muglia, Scott M. Williams
2016	C	`conf`	Exploring the coevolution of predator and prey morphology and behavior. ALIFE Christoph Adami, Jason H. Moore, Fred C. Dyer, Arend Hintze, Randal S. Olson
2016	J	`jnl`	Exploring the coevolution of predator and prey morphology and behavior. CoRR Randal S. Olson, Arend Hintze, Fred C. Dyer, Jason H. Moore, Christoph Adami
2016	—	`conf`	Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. GPTP Randal S. Olson, Jason H. Moore
2016	J	`jnl`	Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. CoRR Randal S. Olson, Jason H. Moore
2016	—	`conf`	Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. GECCO (Companion) Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
2016	A	`conf`	Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. PPSN Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
2016	J	`jnl`	Structured sparse CCA for brain imaging genetics via graph OSCAR. BMC Syst. Biol. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	J	`jnl`	Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method. Bioinform. Lei Du, Heng Huang, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2016	—	`conf`	TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning. AutoML@ICML Randal S. Olson, Jason H. Moore
2016	J	`jnl`	The golden era of biomedical informatics has begun. BioData Min. Jason H. Moore, John H. Holmes
2016	J	`jnl`	The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining. BioData Min. Spiros C. Denaxas, Folkert W. Asselbergs, Jason H. Moore
2015	Misc	`conf`	A Bipartite Network Approach to Inferring Interactions Between Environmental Exposures and Human Diseases. Pacific Symposium on Biocomputing Christian Darabos, Emily D. Grussing, Maria E. Cricco, Kenzie A. Clark, Jason H. Moore
2015	J	`jnl`	An Independent Filter for Gene Set Testing Based on Spectral Enrichment. IEEE ACM Trans. Comput. Biol. Bioinform. H. Robert Frost, Zhigang Li, Folkert W. Asselbergs, Jason H. Moore
2015	J	`jnl`	Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm. BioData Min. Xiuzhen Huang, Steven F. Jennings, Barry Bruce, Alison Buchan, Liming Cai, Pengyin Chen, Carole L. Cramer, Weihua Guan, Uwe Hilgert, Hongmei Jiang, Zenglu Li, Gail McClure, Donald F. McMullen, Bindu Nanduri, Andy D. Perkins, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Karl Walker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Yu Zhang, Zhongming Zhao, Jason H. Moore
2015	J	`jnl`	Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity. BioData Min. Rishika De, Ting Hu, Jason H. Moore, Diane Gilbert-Diamond
2015	—	`conf`	Continuous Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier System. GECCO (Companion) Ryan J. Urbanowicz, Niranjan Ramanand, Jason H. Moore
2015	B	`conf`	Critical properties of cellular automata with evolving network topologies. CEC Christian Darabos, Jason H. Moore
2015	J	`jnl`	Delay-tolerant networks and network coding: Comparative studies on simulated and real-device experiments. Comput. Networks Yuanzhu Chen, Xu Liu, Jiafen Liu, Walter Taylor, Jason H. Moore
2015	J	`jnl`	ExSTraCS 2.0: description and evaluation of a scalable learning classifier system. Evol. Intell. Ryan J. Urbanowicz, Jason H. Moore
2015	J	`jnl`	Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks. BioData Min. Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2015	—	`conf`	GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics. BIH Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	Misc	`conf`	Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks. Pacific Symposium on Biocomputing Ting Hu, Christian Darabos, Maria E. Cricco, Emily Kong, Jason H. Moore
2015	J	`jnl`	Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. Rishika De, Shefali S. Verma, Fotios Drenos, Emily Rose Holzinger, Michael Holmes, Molly A. Hall, David R. Crosslin, David Carrell, Hakon Hakonarson, Gail P. Jarvik, Eric B. Larson, Jennifer A. Pacheco, Laura Rasmussen-Torvik, Carrie Moore, Folkert W. Asselbergs, Jason H. Moore, Marylyn D. Ritchie, Brendan Keating, Diane Gilbert-Diamond
2015	J	`jnl`	Lumping versus splitting: the need for biological data mining in precision medicine. BioData Min. Scott M. Williams, Jason H. Moore
2015	J	`jnl`	Prediction of relevant biomedical documents: a human microbiome case study. BioData Min. Paul Thompson, Juliette Madan, Jason H. Moore
2015	J	`jnl`	Principal component gene set enrichment (PCGSE). BioData Min. H. Robert Frost, Zhigang Li, Jason H. Moore
2015	A	`conf`	Retooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier System. GECCO Ryan J. Urbanowicz, Jason H. Moore
2015	Misc	`conf`	Session Introduction. Pacific Symposium on Biocomputing Molly A. Hall, Shefali S. Verma, Dennis P. Wall, Jason H. Moore, Brendan Keating, Daniel B. Campbell, Gregory Gibson, Folkert W. Asselbergs, Sarah A. Pendergrass
2015	J	`jnl`	Spectral gene set enrichment (SGSE). BMC Bioinform. H. Robert Frost, Zhigang Li, Jason H. Moore
2015	J	`jnl`	Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study. BioData Min. Jiang Gui, Casey S. Greene, Con Sullivan, Walter Taylor, Jason H. Moore, Carol Kim
2015	J	`jnl`	The role of visualization and 3-D printing in biological data mining. BioData Min. Talia Weiss, Amanda L. Zieselman, Douglas P. Hill, Solomon Gilbert Diamond, Li Shen, Andrew J. Saykin, Jason H. Moore
2015	Misc	`conf`	Training the Next Generation of Quantitative Biologists in the Era of Big Data. Pacific Symposium on Biocomputing Kristine A. Pattin, Anna C. Greene, Russ B. Altman, Kevin Bretonnel Cohen, Elizabeth Wethington, Carsten Görg, Lawrence E. Hunter, Spencer V. Muse, Predrag Radivojac, Jason H. Moore
2015	—	`conf`	Two-Dimensional Enrichment Analysis for Mining High-Level Imaging Genetic Associations. BIH Xiaohui Yao, Jingwen Yan, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2015	J	`jnl`	gammaMAXT: a fast multiple-testing correction algorithm. BioData Min. François Van Lishout, Francesco Gadaleta, Jason H. Moore, Louis Wehenkel, Kristel Van Steen
2014	J	`jnl`	A Classification and Characterization of Two-Locus, Pure, Strict, Epistatic Models for Simulation and Detection. BioData Min. Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jeff Kiralis, Jason H. Moore
2014	—	`conf`	A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. MICCAI (3) Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	A	`conf`	An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining. PPSN Ryan J. Urbanowicz, Gediminas Bertasius, Jason H. Moore
2014	Misc	`conf`	Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing. Pacific Symposium on Biocomputing Chao Cheng, Jason H. Moore, Casey S. Greene
2014	Misc	`conf`	Building the Next Generation of Quantitative Biologists. Pacific Symposium on Biocomputing Kristine A. Pattin, Anna C. Greene, Russ B. Altman, Lawrence E. Hunter, David A. Ross, James A. Foster, Jason H. Moore
2014	J	`jnl`	Combining functional genomics strategies identifies modular heterogeneity of breast cancer intrinsic subtypes. BioData Min. Nima Pouladi, Richard Cowper-Sallari, Jason H. Moore
2014	J	`jnl`	Computational genetics analysis of grey matter density in Alzheimer's disease. BioData Min. Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore
2014	—	`conf`	Data synthesis and method evaluation for brain imaging genetics. ISBI Jinhua Sheng, Sungeun Kim, Jingwen Yan, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	—	`conf`	Delay-tolerant networks with network coding: How well can we simulate real devices? ICC Yuanzhu Peter Chen, Xu Liu, Walter Taylor, Jason H. Moore
2014	J	`jnl`	Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. BioData Min. Timothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams
2014	J	`jnl`	First complex, then simple. BioData Min. James D. Malley, Jason H. Moore
2014	J	`jnl`	Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. BioData Min. Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore
2014	—	`ed.`	Genetic Programming Theory and Practice XI [GPTP 2013, University of Michigan, Ann Arbor, USA, May 9-11, 2013]. GPTP Rick L. Riolo, Jason H. Moore, Mark E. Kotanchek
2014	—	`conf`	Identification of Novel Genetic Models of Glaucoma Using the "EMERGENT" Genetic Programming-Based Artificial Intelligence System. GPTP Jason H. Moore, Casey S. Greene, Douglas P. Hill
2014	J	`jnl`	Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics. BMC Syst. Biol. Nadia M. Penrod, Jason H. Moore
2014	J	`jnl`	Innovation is often unnerving: the door into summer. BioData Min. James D. Malley, Jason H. Moore
2014	—	`conf`	Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning. ISBI Jingwen Yan, Heng Huang, Sungeun Kim, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	Misc	`conf`	Message prioritization of epidemic forwarding in delay-tolerant networks. ICNC Xu Liu, Yuanzhu Chen, Cheng Li, Walter Taylor, Jason H. Moore
2014	—	`ch.`	Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework. Evolution, Complexity and Artificial Life Christian Darabos, Mario Giacobini, Jason H. Moore, Marco Tomassini
2014	J	`jnl`	O brave new world that has such machines in it. BioData Min. James D. Malley, Karen G. Malley, Jason H. Moore
2014	J	`jnl`	Optimization of gene set annotations via entropy minimization over variable clusters (EMVC). Bioinform. H. Robert Frost, Jason H. Moore
2014	J	`jnl`	Phenotypic Robustness and the Assortativity Signature of Human Transcription Factor Networks. PLoS Comput. Biol. Dov A. Pechenick, Joshua L. Payne, Jason H. Moore
2014	A	`conf`	Population Exploration on Genotype Networks in Genetic Programming. PPSN Ting Hu, Wolfgang Banzhaf, Jason H. Moore
2014	J	`jnl`	Risk estimation using probability machines. BioData Min. Abhijit Dasgupta, Silke Szymczak, Jason H. Moore, Joan E. Bailey-Wilson, James D. Malley
2014	J	`jnl`	Robustness, Evolvability, and the Logic of Genetic Regulation. Artif. Life Joshua L. Payne, Jason H. Moore, Andreas Wagner
2014	J	`jnl`	The Effects of Recombination on Phenotypic Exploration and Robustness in Evolution. Artif. Life Ting Hu, Wolfgang Banzhaf, Jason H. Moore
2014	J	`jnl`	The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study. BioData Min. Magnus Lekman, Ola Hössjer, Peter C. Andrews, Henrik Källberg, Daniel Uvehag, Dennis S. Charney, Husseini K. Manji, John A. Rush, Francis J. McMahon, Jason H. Moore, Ingrid Kockum
2014	J	`jnl`	The multiscale backbone of the human phenotype network based on biological pathways. BioData Min. Christian Darabos, Marquitta J. White, Britney E. Graham, Derek N. Leung, Scott M. Williams, Jason H. Moore
2014	J	`jnl`	Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm. Bioinform. Jingwen Yan, Lei Du, Sungeun Kim, Shannon L. Risacher, Heng Huang, Jason H. Moore, Andrew J. Saykin, Li Shen
2014	Misc	`conf`	Using the Bipartite Human Phenotype Network to Reveal Pleiotropy and Epistasis Beyond the Gene. Pacific Symposium on Biocomputing Christian Darabos, Samantha H. Harmon, Jason H. Moore
2013	J	`jnl`	A multi-core parallelization strategy for statistical significance testing in learning classifier systems. Evol. Intell. James Rudd, Jason H. Moore, Ryan J. Urbanowicz
2013	—	`conf`	A simple multi-core parallelization strategy for learning classifier system evaluation. GECCO (Companion) James Rudd, Jason H. Moore, Ryan J. Urbanowicz
2013	—	`conf`	An alternative route to robustness: The relationship between assortativity, in-components, and characteristic path length in gene regulatory networks. ECAL Dov A. Pechenick, Joshua L. Payne, Jason H. Moore
2013	J	`jnl`	Big Data analysis on autopilot? BioData Min. Scott M. Williams, Jason H. Moore
2013	—	`conf`	Bipartite Networks Show the Genotype-to-Phenotype Relationship in Biological Systems Models: A Study of the Robustness, Evolvability, and Accessibility in Linear Cellular Automata. ECAL Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore
2013	—	`conf`	Bipartite networks to study the genotype-to-phenotype relationship in cellular automata models. GECCO (Companion) Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore
2013	—	`conf`	Bladder cancer specific pathway interaction networks. ECAL Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	—	`conf`	Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction. EvoBIO Jonathan M. Fisher, Peter C. Andrews, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Jason H. Moore
2013	—	`conf`	Cellular Automata Coevolution of Update Functions and Topologies: A Tradeoff between Accuracy and Speed. ECAL Christian Darabos, Craig O. Mackenzie, Marco Tomassini, Mario Giacobini, Jason H. Moore
2013	—	`conf`	Coevolution of rules and topology in cellular automata. GECCO (Companion) Christian Darabos, Craig O. Mackenzie, Marco Tomassini, Mario Giacobini, Jason H. Moore
2013	J	`jnl`	Complex and dynamic population structures: synthesis, open questions, and future directions. Soft Comput. Joshua L. Payne, Mario Giacobini, Jason H. Moore
2013	—	`conf`	Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease. GPTP Jason H. Moore, Douglas P. Hill, Andrew J. Saykin, Li Shen
2013	J	`jnl`	Identification of SNPs associated with variola virus virulence. BioData Min. Anne Gatewood Hoen, Shea N. Gardner, Jason H. Moore
2013	—	`conf`	Inferring Human Phenotype Networks from Genome-Wide Genetic Associations. EvoBIO Christian Darabos, Kinjal Desai, Richard Cowper-Sallari, Mario Giacobini, Britney E. Graham, Mathieu Lupien, Jason H. Moore
2013	J	`jnl`	Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis. BioData Min. Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2013	—	`conf`	Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases. EvoBIO Delaney Granizo-MacKenzie, Jason H. Moore
2013	—	`conf`	Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. MBIA Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen
2013	J	`jnl`	No-boundary thinking in bioinformatics research. BioData Min. Xiuzhen Huang, Barry Bruce, Alison Buchan, Clare Bates Congdon, Carole L. Cramer, Steven F. Jennings, Hongmei Jiang, Zenglu Li, Gail McClure, Rick McMullen, Jason H. Moore, Bindu Nanduri, Joan Peckham, Andy D. Perkins, Shawn W. Polson, Bhanu Rekepalli, Saeed Salem, Jennifer Specker, Donald C. Wunsch, Donghai Xiong, Shuzhong Zhang, Zhongming Zhao
2013	—	`conf`	Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease. EvoBIO Arvis Sulovari, Jeff Kiralis, Jason H. Moore
2013	—	`conf`	Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System. ECAL Jie Tan, Jason H. Moore, Ryan J. Urbanowicz
2013	J	`jnl`	Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies. J. Am. Medical Informatics Assoc. Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2013	J	`jnl`	Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach. J. Am. Medical Informatics Assoc. Ryan J. Urbanowicz, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	B	`conf`	Robustness and Evolvability of Recombination in Linear Genetic Programming. EuroGP Ting Hu, Wolfgang Banzhaf, Jason H. Moore
2013	Misc	`conf`	Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models. Pacific Symposium on Biocomputing Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	—	`conf`	Supervising Random Forest Using Attribute Interaction Networks. EvoBIO Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	J	`jnl`	The central role of biological data mining in connecting diverse disciplines. BioData Min. Jason H. Moore, Marylyn D. Ritchie
2013	J	`jnl`	The disconnect between classical biostatistics and the biological data mining community. BioData Min. James D. Malley, Jason H. Moore
2013	—	`conf`	The influence of assortativity on the robustness and evolvability of gene regulatory networks upon gene birth. ECAL Dov A. Pechenick, Jason H. Moore, Joshua L. Payne
2013	J	`jnl`	The limits of p-values for biological data mining. BioData Min. James D. Malley, Abhijit Dasgupta, Jason H. Moore
2012	J	`jnl`	An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems. IEEE Comput. Intell. Mag. Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore
2012	—	`conf`	Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets. EvoBIO Delaney Granizo-MacKenzie, Jason H. Moore
2012	J	`jnl`	Chapter 11: Genome-Wide Association Studies. PLoS Comput. Biol. William S. Bush, Jason H. Moore
2012	J	`jnl`	Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming. Genet. Program. Evolvable Mach. Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore
2012	J	`jnl`	GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures. BioData Min. Ryan J. Urbanowicz, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Tamra Heberling, Jonathan M. Fisher, Jason H. Moore
2012	J	`jnl`	Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS. BioData Min. Nora Kim, Peter C. Andrews, Folkert W. Asselbergs, H. Robert Frost, Scott M. Williams, Brent T. Harris, Cynthia Read, Kathleen D. Askland, Jason H. Moore
2012	A	`ed.`	Genetic and Evolutionary Computation Conference, GECCO '12, Philadelphia, PA, USA, July 7-11, 2012 GECCO Terence Soule, Jason H. Moore
2012	—	`ed.`	Genetic and Evolutionary Computation Conference, GECCO '12, Philadelphia, PA, USA, July 7-11, 2012, Companion Material Proceedings GECCO (Companion) Terence Soule, Jason H. Moore
2012	A	`conf`	Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems. GECCO Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore
2012	—	`conf`	Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm. EvoBIO Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore
2012	J	`jnl`	Measuring the microbiome: perspectives on advances in DNA-based techniques for exploring microbial life. Briefings Bioinform. James A. Foster, John Bunge, Jack A. Gilbert, Jason H. Moore
2012	J	`jnl`	Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection. BioData Min. Ryan J. Urbanowicz, Jeff Kiralis, Jonathan M. Fisher, Jason H. Moore
2012	Misc	`conf`	Session introduction. Pacific Symposium on Biocomputing James A. Foster, Jason H. Moore, Jack A. Gilbert, John Bunge
2012	—	`conf`	The Role of Mutations in Whole Genome Duplication. EvoBIO Qinxin Pan, Christian Darabos, Jason H. Moore
2012	—	`conf`	Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity. PPSN (1) Ryan J. Urbanowicz, Delaney Granizo-MacKenzie, Jason H. Moore
2011	—	`ch.`	Addressing the Challenges of Detecting Epistasis in Genome-Wide Association Studies of Common Human Diseases Using Biological Expert Knowledge. Handbook of Research on Computational and Systems Biology Kristine A. Pattin, Jason H. Moore
2011	J	`jnl`	Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks. BMC Bioinform. Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2011	J	`jnl`	Data mining and the evolution of biological complexity. BioData Min. Davnah Urbach, Jason H. Moore
2011	—	`conf`	Distinguishing the effects of epistasis and pleiotropy using a variant of the NK model. ECAL Jonathan M. Fisher, Jason H. Moore
2011	J	`jnl`	Evolving hard problems: Generating human genetics datasets with a complex etiology. BioData Min. Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore
2011	Misc	`conf`	Human Microbiome Visualization Using 3d Technology. Pacific Symposium on Biocomputing Jason H. Moore, Richard Cowper-Sallari, Douglas P. Hill, Patricia Hibberd, Juliette Madan
2011	J	`jnl`	Mining beyond the exome. BioData Min. Davnah Urbach, Jason H. Moore
2011	J	`jnl`	Mining the diseasome. BioData Min. Davnah Urbach, Jason H. Moore
2011	—	`conf`	Random artificial incorporation of noise in a learning classifier system environment. GECCO (Companion) Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore
2011	B	`conf`	Robustness, Evolvability, and Accessibility in Linear Genetic Programming. EuroGP Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore
2011	—	`conf`	Robustness, evolvability, and accessibility in the signal-integration space of gene regulatory circuits. ECAL Joshua L. Payne, Jason H. Moore
2011	Misc	`conf`	Session Introduction. Pacific Symposium on Biocomputing James A. Foster, Jason H. Moore
2011	—	`conf`	The influence of whole genome duplication and subsequent diversification on environmental robustness and evolutionary innovation in gene regulatory networks. ECAL Qinxin Pan, Christian Darabos, Anna L. Tyler, Jason H. Moore, Joshua L. Payne
2011	J	`jnl`	The spatial dimension in biological data mining. BioData Min. Davnah Urbach, Jason H. Moore
2011	J	`jnl`	Toward robust network based complex systems: from evolutionary cellular automata to biological models. Intelligenza Artificiale Christian Darabos, Marco Tomassini, Ferdinando Di Cunto, Paolo Provero, Jason H. Moore, Mario Giacobini
2011	—	`conf`	Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism. EvoBio Christian Darabos, Ferdinando Di Cunto, Marco Tomassini, Jason H. Moore, Paolo Provero, Mario Giacobini
2010	—	`conf`	A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships. EvoBIO Casey S. Greene, Daniel S. Himmelstein, Jason H. Moore
2010	—	`conf`	Artificial Immune Systems for Epistasis Analysis in Human Genetics. EvoBIO Nadia M. Penrod, Casey S. Greene, Delaney Granizo-MacKenzie, Jason H. Moore
2010	J	`jnl`	Bioinformatics challenges for genome-wide association studies. Bioinform. Jason H. Moore, Folkert W. Asselbergs, Scott M. Williams
2010	—	`conf`	Bioinformatics. GECCO (Companion) Jason H. Moore
2010	—	`conf`	Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information. PRIB Kristine A. Pattin, Jiang Gui, Jason H. Moore
2010	Misc	`conf`	Enabling Personal Genomics with an Explicit Test of Epistasis. Pacific Symposium on Biocomputing Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2010	A	`conf`	Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units. GECCO Nicholas A. Sinnott-Armstrong, Casey S. Greene, Jason H. Moore
2010	J	`jnl`	Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS. Bioinform. Casey S. Greene, Nicholas A. Sinnott-Armstrong, Daniel S. Himmelstein, Paul J. Park, Jason H. Moore, Brent T. Harris
2010	—	`conf`	Sexual Recombination in Self-Organizing Interaction Networks. EvoApplications (1) Joshua L. Payne, Jason H. Moore
2010	—	`ch.`	Solving Complex Problems in Human Genetics using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery Casey S. Greene, Jason H. Moore
2010	—	`conf`	The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies. PPSN (1) Ryan J. Urbanowicz, Jason H. Moore
2010	—	`conf`	The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics. EvoBIO Casey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore
2010	A	`conf`	The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies. GECCO Ryan J. Urbanowicz, Jason H. Moore
2010	J	`jnl`	Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort. NeuroImage Li Shen, Sungeun Kim, Shannon L. Risacher, Kwangsik Nho, Shanker Swaminathan, John D. West, Tatiana Foroud, Nathan Pankratz, Jason H. Moore, Chantel D. Sloan, Matthew J. Huentelman, David W. Craig, Bryan M. DeChairo, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Andrew J. Saykin
2009	—	`conf`	An Analysis of New Expert Knowledge Scaling Methods for Biologically Inspired Computing. ECAL (2) Jason M. Gilmore, Casey S. Greene, Peter C. Andrews, Jeff Kiralis, Jason H. Moore
2009	—	`conf`	An Open-Ended Computational Evolution Strategy for Evolving Parsimonious Solutions to Human Genetics Problems. ECAL (1) Casey S. Greene, Douglas P. Hill, Jason H. Moore
2009	B	`conf`	Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture. IEEE Congress on Evolutionary Computation Anna L. Tyler, Bill C. White, Casey S. Greene, Paul C. Andrews, Richard Cowper-Sallari, Jason H. Moore
2009	A	`conf`	Environmental noise improves epistasis models of genetic data discovered using a computational evolution system. GECCO Casey S. Greene, Douglas P. Hill, Jason H. Moore
2009	J	`jnl`	Multifactor dimensionality reduction analysis identifies specific nucleotide patterns promoting genetic polymorphisms. BioData Min. Eric Arehart, Scott Gleim, Bill C. White, John Hwa, Jason H. Moore
2009	B	`conf`	Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches. IEEE Congress on Evolutionary Computation Casey S. Greene, Jeff Kiralis, Jason H. Moore
2009	—	`conf`	Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease. EvoBIO Casey S. Greene, Jason M. Gilmore, Jeff Kiralis, Peter C. Andrews, Jason H. Moore
2009	B	`conf`	Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming. IEEE Congress on Evolutionary Computation Casey S. Greene, Bill C. White, Jason H. Moore
2009	J	`jnl`	Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions. BioData Min. Casey S. Greene, Nadia M. Penrod, Jeff Kiralis, Jason H. Moore
2008	—	`conf`	Ant Colony Optimization for Genome-Wide Genetic Analysis. ANTS Conference Casey S. Greene, Bill C. White, Jason H. Moore
2008	—	`conf`	Development and Evaluation of an Open-Ended Computational Evolution System for the Genetic Analysis of Susceptibility to Common Human Diseases. EvoBIO Jason H. Moore, Peter C. Andrews, Nate Barney, Bill C. White
2008	—	`ed.`	Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings EvoBio Elena Marchiori, Jason H. Moore
2008	J	`jnl`	Filling the gap between biology and computer science. BioData Min. Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie
2008	A	`conf`	Mask functions for the symbolic modeling of epistasis using genetic programming. GECCO Ryan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore
2008	A	`conf`	Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. GECCO Casey S. Greene, Bill C. White, Jason H. Moore
2007	—	`conf`	An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming. PRIB Casey S. Greene, Bill C. White, Jason H. Moore
2007	—	`conf`	Bioinformatics. GECCO (Companion) Jason H. Moore
2007	J	`jnl`	Evaporative cooling feature selection for genotypic data involving interactions. Bioinform. Brett A. McKinney, David M. Reif, Bill C. White, James E. Crowe Jr., Jason H. Moore
2007	—	`ed.`	Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics, 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings EvoBio Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse
2007	J	`jnl`	Genetic programming neural networks: A powerful bioinformatics tool for human genetics. Appl. Soft Comput. Marylyn D. Ritchie, Alison A. Motsinger, William S. Bush, Christopher S. Coffey, Jason H. Moore
2007	J	`jnl`	Genomic mining for complex disease traits with "random chemistry". Genet. Program. Evolvable Mach. Margaret J. Eppstein, Joshua L. Payne, Bill C. White, Jason H. Moore
2007	A	`conf`	Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics. GECCO Jason H. Moore, Nate Barney, Bill C. White
2007	—	`conf`	Tuning ReliefF for Genome-Wide Genetic Analysis. EvoBIO Jason H. Moore, Bill C. White
2006	—	`ed.`	Applications of Evolutionary Computing, EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings EvoWorkshops Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi
2006	J	`jnl`	Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data. BMC Bioinform. Tricia A. Thornton-Wells, Jason H. Moore, Jonathan L. Haines
2006	A	`conf`	Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis. PPSN Jason H. Moore, Bill C. White
2006	C	`conf`	Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. CIBCB David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore
2005	B	`conf`	A statistical comparison of grammatical evolution strategies in the domain of human genetics. Congress on Evolutionary Computation Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore
2005	B	`conf`	A statistical comparison of grammatical evolution strategies in the domain of human genetics. Congress on Evolutionary Computation Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore
2005	Misc	`conf`	Exploratory Visual Analysis of Pharmacogenomic Results. Pacific Symposium on Biocomputing David M. Reif, Scott M. Dudek, Christian M. Shaffer, Janey Wang, Jason H. Moore
2004	—	`conf`	An Improved Grammatical Evolution Strategy for Hierarchical Petri Net Modeling of Complex Genetic Systems. EvoWorkshops Jason H. Moore, Lance W. Hahn
2004	J	`jnl`	An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation. BMC Bioinform. Christopher S. Coffey, Patricia R. Hebert, Marylyn D. Ritchie, Harlan M. Krumholz, John Michael Gaziano, Paul M. Ridker, Nancy J. Brown, Douglas E. Vaughan, Jason H. Moore
2004	—	`conf`	Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. GECCO (1) Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore
2004	J	`jnl`	Ideal discrimination of discrete clinical endpoints using multilocus genotypes. Silico Biol. Lance W. Hahn, Jason H. Moore
2004	J	`jnl`	Routine discovery of complex genetic models using genetic algorithms. Appl. Soft Comput. Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White
2004	—	`conf`	Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution. GECCO (1) Jason H. Moore, Lance W. Hahn
2003	A	`conf`	Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data. GECCO David M. Reif, Bill C. White, Nancy Olsen, Thomas M. Aune, Jason H. Moore
2003	—	`conf`	Cross Validation Consistency for the Assessment of Genetic Programming Results in Microarray Studies. EvoWorkshops Jason H. Moore
2003	A	`conf`	Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems. GECCO Jason H. Moore, Lance W. Hahn
2003	J	`jnl`	Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinform. Lance W. Hahn, Marylyn D. Ritchie, Jason H. Moore
2003	J	`jnl`	Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases. BMC Bioinform. Marylyn D. Ritchie, Bill C. White, Joel S. Parker, Lance W. Hahn, Jason H. Moore
2002	Misc	`conf`	A Cellular Automata Approach to Detecting Interactions Among Single-nucleotide Polymorphisms in Complex Multifactorial Diseases. Pacific Symposium on Biocomputing Jason H. Moore, Lance W. Hahn
2002	A	`conf`	Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics. GECCO Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White
2002	A	`conf`	Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics. PPSN Jason H. Moore, Lance W. Hahn
2001	—	`conf`	Symbolic Discriminant Analysis for Mining Gene Expression Patterns. ECML Jason H. Moore, Joel S. Parker, Lance W. Hahn
2000	J	`jnl`	Detection of linear and nonlinear dependencies in time series using the method of surrogate data in S-PLUS. Comput. Methods Programs Biomed. Jason H. Moore