Ruowang Li
Ruowang Li
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Paternally induced transgenerational environmental reprogramming of metabolic gene expression in mammals
BR Carone, L Fauquier, N Habib, JM Shea, CE Hart, R Li, C Bock, C Li, ...
Cell 143 (7), 1084-1096, 2010
Methods of integrating data to uncover genotype–phenotype interactions
MD Ritchie, ER Holzinger, R Li, SA Pendergrass, D Kim
Nature Reviews Genetics 16 (2), 85-97, 2015
Mbd3/NURD complex regulates expression of 5-hydroxymethylcytosine marked genes in embryonic stem cells
O Yildirim, R Li, JH Hung, PB Chen, X Dong, LS Ee, Z Weng, OJ Rando, ...
cell 147 (7), 1498-1510, 2011
Stability study of PbSe semiconductor nanocrystals over concentration, size, atmosphere, and light exposure
Q Dai, Y Wang, Y Zhang, X Li, R Li, B Zou, JT Seo, Y Wang, M Liu, WW Yu
Langmuir 25 (20), 12320-12324, 2009
ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network
D Kim, R Li, SM Dudek, MD Ritchie
BioData mining 6 (1), 23, 2013
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma
D Kim, R Li, A Lucas, SS Verma, SM Dudek, MD Ritchie
Journal of the American Medical Informatics Association 24 (3), 577-587, 2016
Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer
D Kim, R Li, SM Dudek, MD Ritchie
Journal of biomedical informatics 56, 220-228, 2015
Knowledge-driven genomic interactions: an application in ovarian cancer
D Kim, R Li, SM Dudek, AT Frase, SA Pendergrass, MD Ritchie
BioData mining 7 (1), 20, 2014
Binning somatic mutations based on biological knowledge for predicting survival: an application in renal cell carcinoma
D Kim, R Li, SM Dudek, JR Wallace, MD Ritchie
Pacific Symposium on Biocomputing Co-Chairs, 96-107, 2014
Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
R Li, SM Dudek, D Kim, MA Hall, Y Bradford, PL Peissig, MH Brilliant, ...
BioData mining 9 (1), 18, 2016
Collective feature selection to identify crucial epistatic variants
SS Verma, A Lucas, X Zhang, Y Veturi, S Dudek, B Li, R Li, R Urbanowicz, ...
BioData mining 11 (1), 5, 2018
Methods to analyze big data in pharmacogenomics research
R Li, D Kim, MD Ritchie
Pharmacogenomics 18 (8), 807-820, 2017
Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data
J Tong, R Duan, R Li, MJ Scheuemie, JH Moore, Y Chen
Pacific Symposium on Biocomputing 25, 695-706, 2020
Integration of genetic and clinical information to improve imputation of data missing from electronic health records
R Li, Y Chen, JH Moore
Journal of the American Medical Informatics Association, 2019
A regression framework to uncover pleiotropy in large-scale electronic health record data
R Li, R Duan, RL Kember, DJ Rader, SM Damrauer, JH Moore, Y Chen
Journal of the American Medical Informatics Association 26 (10), 1083-1090, 2019
Biofilter as a functional annotation pipeline for common and rare copy number burden
D Kim, A Lucas, J Glessner, SS Verma, Y Bradford, R Li, AT Frase, ...
Biocomputing 2016: Proceedings of the Pacific Symposium, 357-368, 2016
Electronic health records and polygenic risk scores for predicting disease risk
R Li, Y Chen, MD Ritchie, JH Moore
Nature Reviews Genetics, 1-10, 2020
Evaluation of phenotyping errors on polygenic risk score predictions
R Li, J Tong, R Duan, Y Chen, JH Moore
BioRxiv, 724534, 2019
An integrated analysis of genome-wide DNA methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations
R Li, D Kim, SM Dudek, MD Ritchie
European Conference on the Applications of Evolutionary Computation, 928-938, 2014
Evaluation of parameter contribution to neural network size and fitness in athena for genetic analysis
R Li, ER Holzinger, SM Dudek, MD Ritchie
Genetic Programming Theory and Practice XI, 211-224, 2014
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