Eric E. Schadt

37 papers A* 2A 1Misc 6Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Toward governance of artificial intelligence in pediatric healthcare.
npj Digit. Medicine
Felix Richter, Emma Holmes, Florian Richter, Katherine Guttmann, Son Q. Duong, Sandeep Gangadharan, Eric E. Schadt, Hojjat Salmasian, Bruce D. Gelb, Benjamin S. Glicksberg
2022 J jnl
A comprehensive digital phenotype for postpartum hemorrhage.
J. Am. Medical Informatics Assoc.
Amanda B. Zheutlin, Luciana Vieira, Ryan A. Shewcraft, Shilong Li, Zichen Wang, Emilio Schadt, Yu-Han Kao, Susan Gross, Siobhan M. Dolan, Joanne Stone, Eric E. Schadt, Li Li
2022 J jnl
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.
npj Digit. Medicine
Sarah M. Goodday, E. Karlin, A. Brooks, C. Chapman, Daniel R. Karlin, Luca Foschini, E. Kipping, M. Wildman, M. Francis, H. Greenman, Li Li, Eric E. Schadt, Marzyeh Ghassemi, Anna Goldenberg, Francesca Cormack, Nick Taptiklis, Corey Centen, S. Smith, Stephen H. Friend
2022 J jnl
Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records.
J. Am. Medical Informatics Assoc.
Amanda B. Zheutlin, Luciana Vieira, Ryan A. Shewcraft, Shilong Li, Zichen Wang, Emilio Schadt, Susan Gross, Siobhan M. Dolan, Joanne Stone, Eric E. Schadt, Li Li
2022 J jnl
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data.
npj Digit. Medicine
Shilong Li, Zichen Wang, Luciana Vieira, Amanda B. Zheutlin, Boshu Ru, Emilio Schadt, Pei Wang, Alan B. Copperman, Joanne Stone, Susan Gross, Yu-Han Kao, Yan Kwan Lau, Siobhan M. Dolan, Eric E. Schadt, Li Li
2021 — conf
Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notes.
ICHI
Minghao Li, Kyeryoung Lee, Zongzhi Liu, Meng Ma, Qi Pan, Rong Chen, Eric E. Schadt, Xiaoyan Wang
2021 Misc conf
The Real-World Trend Analysis of Cancer Drugs Empowered by Natural Language Processing.
AMIA
Meng Ma, Kyeryoung Lee, Yun Mai, Chris Gilman, Zongzhi Liu, Mingwei Zhang, Minghao Li, Arielle Redfern, Tommy Mullaney, Tony Prentice, Paul McDonagh, Qi Pan, William Oh, Rong Chen, Eric E. Schadt, Xiaoyan Wang
2020 Misc conf
DxTree: a visual analytics tool for hierarchical representation of disease cohort counts for clinical trials.
AMIA
Mingwei Zhang, Zongzhi Liu, Meng Ma, Kyeryoung Lee, Yun Mai, Scott Jones, Chris Gilman, Ying Ru, Matthew Deitz, Yunrou Gong, Xiang Zhou, Krish Ghosh, Rong Chen, Eric E. Schadt, Xiaoyan Wang
2020 J jnl
Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness.
PLoS Comput. Biol.
Ivan Carcamo-Orive, Marc Y. R. Henrion, Kuixi Zhu, Noam D. Beckmann, Paige Cundiff, Sara Moein, Zenan Zhang, Melissa Alamprese, Sunita L. D'Souza, Martin Wabitsch, Eric E. Schadt, Thomas Quertermous, Joshua W. Knowles, Rui Chang
2019 J jnl
ORE identifies extreme expression effects enriched for rare variants.
Bioinform.
Felix Richter, Gabriel E. Hoffman, K. B. Manheimer, Nihir Patel, A J Sharp, D. McKean, Sarah U. Morton, S. DePalma, J. Gorham, A Kitaygorodksy, George A. Porter, A Giardini, Y. Shen, Wendy K. Chung, J. G. Seidman, Christine E. Seidman, Eric E. Schadt, Bruce D. Gelb
2018 J jnl
From smartphone to EHR: a case report on integrating patient-generated health data.
npj Digit. Medicine
Nicholas Genes, Samantha Violante, Christine Cetrangol, Linda Rogers, Eric E. Schadt, Yu-Feng Yvonne Chan
2018 J jnl
STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts.
Bioinform.
Nicholas K. Akers, Eric E. Schadt, Bojan Losic
2017 Misc conf
Exploring the Reproducibility of Probabilistic Causal Molecular Network Models>.
PSB
Ariella Cohain, Aparna A. Divaraniya, Kuixi Zhu, Joseph R. Scarpa, Andrew Kasarskis, Jun Zhu, Rui Chang, Joel T. Dudley, Eric E. Schadt
2017 Misc conf
Identify Cancer Driver Genes Through Shared Mendelian Disease Pathogenic Variants and Cancer Somatic Mutations.
PSB
Meng Ma, Changchang Wang, Benjamin S. Glicksberg, Eric E. Schadt, Shuyu Dan Li, Rong Chen
2017 Misc conf
Methods for Clustering Time Series Data Acquired from Mobile Health Apps.
PSB
Nicole L. Tignor, Pei Wang, Nicholas Genes, Linda Rogers, Steven G. Hershman, Erick R. Scott, Micol Zweig, Yu-Feng Yvonne Chan, Eric E. Schadt
2016 J jnl
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.
Bioinform.
Benjamin S. Glicksberg, Li Li, Marcus A. Badgeley, Khader Shameer, Roman Kosoy, Noam D. Beckmann, Nam Pho, Jörg Hakenberg, Meng Ma, Kristin L. Ayers, Gabriel E. Hoffman, Shuyu Dan Li, Eric E. Schadt, Chirag J. Patel, Rong Chen, Joel T. Dudley
2016 J jnl
Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.
Bioinform.
Eunjee Lee, Koichi Ito, Yong Zhao, Eric E. Schadt, Hanna Y. Irie, Jun Zhu
2016 J jnl
variancePartition: interpreting drivers of variation in complex gene expression studies.
BMC Bioinform.
Gabriel E. Hoffman, Eric E. Schadt
2015 Misc conf
Causal Inference in Biology Networks with Integrated Belief Propagation.
Pacific Symposium on Biocomputing
Rui Chang, Jonathan R. Karr, Eric E. Schadt
2014 A* conf
A data driven approach to diagnosing and treating disease.
KDD
Eric E. Schadt
2014 J jnl
MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis.
PLoS Comput. Biol.
Seungyeul Yoo, Tao Huang, Joshua D. Campbell, Eunjee Lee, Zhidong Tu, Mark W. Geraci, Charles A. Powell, Eric E. Schadt, Avrum Spira, Jun Zhu
2014 J jnl
lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R.
Bioinform.
Gabriel E. Hoffman, Jason G. Mezey, Eric E. Schadt
2013 J jnl
Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic.
PLoS Comput. Biol.
Zhixing Feng, Gang Fang, Jonas Korlach, Tyson Clark, Khai Luong, Xuegong Zhang, Wing Wong, Eric E. Schadt
2013 J jnl
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.
PLoS Comput. Biol.
Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A. Logsdon, Gaurav Pandey, Benjamin A. Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H. Mecham, Oscar M. Rueda, Jorg Tost, Christina Curtis, Mariano J. Alvarez, Vessela N. Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H. Friend, Trey Ideker, Eric E. Schadt, Gustavo A. Stolovitzky, Adam A. Margolin
2013 A* conf
Mining the digital universe of data to develop personalized cancer therapies.
KDD
Eric E. Schadt
2012 J jnl
Integrating external biological knowledge in the construction of regulatory networks from time-series expression data.
BMC Syst. Biol.
Kenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung
2011 J jnl
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
Bioinform.
Haisu Ma, Eric E. Schadt, Lee M. Kaplan, Hongyu Zhao
2011 A conf
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).
UAI
Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman
2011 J jnl
Inferring causal genomic alterations in breast cancer using gene expression data.
BMC Syst. Biol.
Linh M. Tran, Bin Zhang, Zhan Zhang, Chunsheng Zhang, Tao Xie, John R. Lamb, Hongyue Dai, Eric E. Schadt, Jun Zhu
2010 J jnl
A Bayesian Partition Method for Detecting Pleiotropic and Epistatic eQTL Modules.
PLoS Comput. Biol.
Wei Zhang, Jun Zhu, Eric E. Schadt, Jun S. Liu
2010 J jnl
An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions.
PLoS Comput. Biol.
Gaurav Pandey, Bin Zhang, Aaron N. Chang, Chad L. Myers, Jun Zhu, Vipin Kumar, Eric E. Schadt
2010 J jnl
Characterizing Dynamic Changes in the Human Blood Transcriptional Network.
PLoS Comput. Biol.
Jun Zhu, Yanqing Chen, Amy S. Leonardson, Kai Wang, John R. Lamb, Valur Emilsson, Eric E. Schadt
2010 J jnl
Simultaneous Clustering of Multiple Gene Expression and Physical Interaction Datasets.
PLoS Comput. Biol.
Manikandan Narayanan, Adrian Vetta, Eric E. Schadt, Jun Zhu
2009 J jnl
Meta-analysis of Inter-species Liver Co-expression Networks Elucidates Traits Associated with Common Human Diseases.
PLoS Comput. Biol.
Kai Wang, Manikandan Narayanan, Hua Zhong, Martin Tompa, Eric E. Schadt, Jun Zhu
2007 J jnl
Increasing the Power to Detect Causal Associations by Combining Genotypic and Expression Data in Segregating Populations.
PLoS Comput. Biol.
Jun Zhu, Matthew C. Wiener, Chunsheng Zhang, Arthur Fridman, Eric Minch, Pek Y. Lum, Jeffrey R. Sachs, Eric E. Schadt
2007 J jnl
Statistical power of phylo-HMM for evolutionarily conserved element detection.
BMC Bioinform.
Xiaodan Fan, Jun Zhu, Eric E. Schadt, Jun S. Liu
2003 J jnl
Microarray Standard Data Set and Figures of Merit for Comparing Data Processing Methods and Experiment Designs.
Bioinform.
Yudong D. He, Hongyue Dai, Eric E. Schadt, Guy Cavet, Stephen W. Edwards, Sergey B. Stepaniants, Sven Duenwald, Robert Kleinhanz, Allan R. Jones, Daniel D. Shoemaker, Roland B. Stoughton