Ruowang Li

22 papers B 1Misc 4Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A deep ensemble encoder network method for improved polygenic risk score prediction.
BioData Min.
Okan Bilge Özdemir, Raelynn Chen, Olivia Wu, Ruowang Li
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
2024 J jnl
Balancing the efforts of chart review and gains in PRS prediction accuracy: An empirical study.
J. Biomed. Informatics
Yuqing Lei, Adam Christian Naj, Hua Xu, Ruowang Li, Yong Chen
2024 J jnl
Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints.
J. Am. Medical Informatics Assoc.
Jiayi Tong, Chongliang Luo, Yifei Sun, Rui Duan, M. Elle Saine, Lifeng Lin, Yifan Peng, Yiwen Lu, Anchita Batra, Anni Pan, Olivia Wang, Ruowang Li, Arielle Marks-Anglin, Yuchen Yang, Xu Zuo, Yulun Liu, Jiang Bian, Stephen E. Kimmel, Keith Hamilton, Adam Cuker, Rebecca A. Hubbard, Hua Xu, Yong Chen
2024 J jnl
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc.
Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen
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
2020 — conf
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions.
BIOINFORMATICS
Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore
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 Misc conf
Statistical Impact of Sample Size and Imbalance on Multivariate Analysis in silico and A Case Study in the UK Biobank.
AMIA
Xinyuan Zhang, Ruowang Li, Marylyn D. Ritchie
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
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
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
2017 J jnl
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.
J. Am. Medical Informatics Assoc.
Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie
2016 Misc conf
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.
PSB
Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie
2016 J jnl
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network.
BioData Min.
Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yukiko Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao, Marylyn D. Ritchie
2015 Misc conf
Binning Somatic Mutations Based on Biological Knowledge for Predicting Survival: An Application in Renal Cell Carcinoma.
Pacific Symposium on Biocomputing
Dokyoon Kim, Ruowang Li, Scott M. Dudek, John R. Wallace, Marylyn D. Ritchie
2015 J jnl
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
J. Biomed. Informatics
Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie
2014 B conf
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations.
EvoApplications
Ruowang Li, Do Kyoon Kim, Scott M. Dudek, Marylyn D. Ritchie
2014 J jnl
Knowledge-driven genomic interactions: an application in ovarian cancer.
BioData Min.
Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie
2013 J jnl
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network.
BioData Min.
Dokyoon Kim, Ruowang Li, Scott M. Dudek, Marylyn D. Ritchie
2013 — conf
Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis.
GPTP
Ruowang Li, Emily Rose Holzinger, Scott M. Dudek, Marylyn D. Ritchie