| 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 | 1253 | 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 | 1062 | 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 | 522 | 2011 |
| ChatGPT and large language models in academia: opportunities and challenges JG Meyer, RJ Urbanowicz, PCN Martin, K O’Connor, R Li, PC Peng, ... BioData Mining 16 (1), 20, 2023 | 109 | 2023 |
| 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 | 105 | 2020 |
| 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 | 85 | 2013 |
| 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 | 83 | 2009 |
| 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 | 48 | 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 | 42 | 2015 |
| 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 | 29 | 2018 |
| 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 | 24 | 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 | 24 | 2019 |
| 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 | 24 | 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 | 19 | 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 | 12 | 2016 |
| 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 | 10 | 2019 |
| Methods to analyze big data in pharmacogenomics research R Li, D Kim, MD Ritchie Pharmacogenomics 18 (8), 807-820, 2017 | 10 | 2017 |
| Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics R Li, R Duan, X Zhang, T Lumley, S Pendergrass, C Bauer, ... Nature Communications 12 (1), 1-10, 2021 | 4 | 2021 |
| 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 | 4 | 2016 |
| Automated quantitative trait locus analysis (AutoQTL) PJ Freda, A Ghosh, E Zhang, T Luo, AS Chitre, O Polesskaya, ... BioData Mining 16 (1), 1-24, 2023 | 3 | 2023 |
Marylyn D RitchieUniversity of PennsylvaniaVerified email at upenn.edu
