☰

Ruowang Li - Publications

Affiliations: 
Pennsylvania State University, State College, PA, United States 
Tree Info Similar researchers PubMed Report error

27 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Li R, Romano JD, Chen Y, Moore JH. Centralized and Federated Models for the Analysis of Clinical Data. Annual Review of Biomedical Data Science. PMID 38723657 DOI: 10.1146/annurev-biodatasci-122220-115746  0.734
2024 Li R, Benz L, Duan R, Denny JC, Hakonarson H, Mosley JD, Smoller JW, Wei WQ, Ritchie MD, Moore JH, Chen Y. mixWAS: An efficient distributed algorithm for mixed-outcomes genome-wide association studies. Medrxiv : the Preprint Server For Health Sciences. PMID 38260403 DOI: 10.1101/2024.01.09.24301073  0.753
2024 Li R, Duan R, He L, Moore JH. Risk prediction: Methods, Challenges, and Opportunities. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 29: 650-653. PMID 38160314  0.501
2023 Tong J, Duan R, Li R, Luo C, Moore JH, Zhu J, Foster GD, Volpp KG, Yancy WS, Shaw PA, Chen Y. Publisher Correction: Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions. Scientific Reports. 13: 22546. PMID 38110504 DOI: 10.1038/s41598-023-49737-3  0.462
2023 Tong J, Duan R, Li R, Luo C, Moore JH, Zhu J, Foster GD, Volpp KG, Yancy WS, Shaw PA, Chen Y. Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions. Scientific Reports. 13: 19078. PMID 37925516 DOI: 10.1038/s41598-023-41853-4  0.521
2023 Meyer JG, Urbanowicz RJ, Martin PCN, O'Connor K, Li R, Peng PC, Bright TJ, Tatonetti N, Won KJ, Gonzalez-Hernandez G, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. Biodata Mining. 16: 20. PMID 37443040 DOI: 10.1186/s13040-023-00339-9  0.688
2023 Freda PJ, Ghosh A, Zhang E, Luo T, Chitre AS, Polesskaya O, St Pierre CL, Gao J, Martin CD, Chen H, Garcia-Martinez AG, Wang T, Han W, Ishiwari K, Meyer P, ... ... Li R, et al. Automated quantitative trait locus analysis (AutoQTL). Biodata Mining. 16: 14. PMID 37038201 DOI: 10.1186/s13040-023-00331-3  0.628
2023 Freda PJ, Ghosh A, Zhang E, Luo T, Chitre A, Polesskaya O, St Pierre CL, Gao J, Martin CD, Chen H, Garcia-Martinez AG, Wang T, Han W, Ishiwari K, Meyer P, ... ... Li R, et al. Automated quantitative trait locus analysis (AutoQTL). Biorxiv : the Preprint Server For Biology. PMID 36711526 DOI: 10.1101/2023.01.12.523835  0.627
2022 Li R, Duan R, He L, Moore JH. Risk prediction: Methods, Challenges, and Opportunities. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 28: 546-548. PMID 36541009  0.532
2021 Li R, Duan R, Zhang X, Lumley T, Pendergrass S, Bauer C, Hakonarson H, Carrell DS, Smoller JW, Wei WQ, Carroll R, Velez Edwards DR, Wiesner G, Sleiman P, Denny JC, et al. Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics. Nature Communications. 12: 168. PMID 33420026 DOI: 10.1038/s41467-020-20211-2  0.78
2020 Zhang X, Li R, Ritchie MD. Statistical Impact of Sample Size and Imbalance on Multivariate Analysis and A Case Study in the UK Biobank. Amia ... Annual Symposium Proceedings. Amia Symposium. 2020: 1383-1391. PMID 33936514  0.71
2020 Li R, Chen Y, Ritchie MD, Moore JH. Electronic health records and polygenic risk scores for predicting disease risk. Nature Reviews. Genetics. PMID 32235907 DOI: 10.1038/S41576-020-0224-1  0.732
2020 Tong J, Duan R, Li R, Scheuemie MJ, Moore JH, Chen Y. Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 25: 695-706. PMID 31797639  0.57
2019 Li R, Duan R, Kember RL, Rader DJ, Damrauer SM, Moore JH, Chen Y. A regression framework to uncover pleiotropy in large-scale electronic health record data. Journal of the American Medical Informatics Association : Jamia. 26: 1083-1090. PMID 31529123 DOI: 10.1093/Jamia/Ocz084  0.665
2019 Li R, Chen Y, Moore JH. Integration of genetic and clinical information to improve imputation of data missing from electronic health records. Journal of the American Medical Informatics Association : Jamia. PMID 31329892 DOI: 10.1093/Jamia/Ocz041  0.667
2018 Li R, Kim D, Wheeler HE, Dudek SM, Dolan ME, Ritchie MD. Integration of genetic and functional genomics data to uncover chemotherapeutic induced cytotoxicity. The Pharmacogenomics Journal. PMID 29795408 DOI: 10.1038/S41397-018-0024-6  0.742
2018 Verma SS, Lucas A, Zhang X, Veturi Y, Dudek S, Li B, Li R, Urbanowicz R, Moore JH, Kim D, Ritchie MD. Collective feature selection to identify crucial epistatic variants. Biodata Mining. 11: 5. PMID 29713383 DOI: 10.1186/S13040-018-0168-6  0.688
2017 Li R, Kim D, Ritchie MD. Methods to analyze big data in pharmacogenomics research. Pharmacogenomics. PMID 28612644 DOI: 10.2217/Pgs-2016-0152  0.737
2016 Kim D, Li R, Lucas A, Verma SS, Dudek SM, Ritchie MD. Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. Journal of the American Medical Informatics Association : Jamia. PMID 28040685 DOI: 10.1093/Jamia/Ocw165  0.784
2016 Li R, Dudek SM, Kim D, Hall MA, Bradford Y, Peissig PL, Brilliant MH, Linneman JG, McCarty CA, Bao L, Ritchie MD. Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network. Biodata Mining. 9: 18. PMID 27168765 DOI: 10.1186/S13040-016-0094-4  0.793
2016 Kim D, Lucas A, Glessner J, Verma SS, Bradford Y, Li R, Frase AT, Hakonarson H, Peissig P, Brilliant M, Ritchie MD. BIOFILTER AS A FUNCTIONAL ANNOTATION PIPELINE FOR COMMON AND RARE COPY NUMBER BURDEN. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 21: 357-68. PMID 26776200  0.783
2015 Kim D, Li R, Dudek SM, Ritchie MD. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer. Journal of Biomedical Informatics. PMID 26048077 DOI: 10.1016/J.Jbi.2015.05.019  0.741
2015 Kim D, Li R, Dudek SM, Wallace JR, Ritchie MD. Binning somatic mutations based on biological knowledge for predicting survival: an application in renal cell carcinoma. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 96-107. PMID 25592572  0.687
2015 Ritchie MD, Holzinger ER, Li R, Pendergrass SA, Kim D. Methods of integrating data to uncover genotype-phenotype interactions. Nature Reviews. Genetics. 16: 85-97. PMID 25582081 DOI: 10.1038/nrg3868  0.792
2014 Kim D, Li R, Dudek SM, Frase AT, Pendergrass SA, Ritchie MD. Knowledge-driven genomic interactions: an application in ovarian cancer. Biodata Mining. 7: 20. PMID 25214892 DOI: 10.1186/1756-0381-7-20  0.762
2014 Li R, Kim D, Dudek SM, Ritchie MD. An integrated analysis of genome-wide DNA Methylation and genetic variants underlying etoposide-induced cytotoxicity in European and African populations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8602: 928-938. DOI: 10.1007/978-3-662-45523-4_75  0.561
2013 Kim D, Li R, Dudek SM, Ritchie MD. ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network. Biodata Mining. 6: 23. PMID 24359638 DOI: 10.1186/1756-0381-6-23  0.746
Show low-probability matches.