A selective review of multi-level omics data integration using variable selection C Wu, F Zhou, J Ren, X Li, Y Jiang, S Ma High-throughput 8 (1), 4, 2019 | 188 | 2019 |
Cryptoporus volvatus extract inhibits porcine reproductive and respiratory syndrome virus (PRRSV) in vitro and in vivo L Gao, W Zhang, Y Sun, Q Yang, J Ren, J Liu, H Wang, W Feng PLoS One 8 (5), e63767, 2013 | 53 | 2013 |
Robust network‐based regularization and variable selection for high‐dimensional genomic data in cancer prognosis J Ren, Y Du, S Li, S Ma, Y Jiang, C Wu Genetic epidemiology 43 (3), 276-291, 2019 | 41 | 2019 |
Dissecting gene‐environment interactions: A penalized robust approach accounting for hierarchical structures C Wu, Y Jiang, J Ren, Y Cui, S Ma Statistics in medicine 37 (3), 437-456, 2018 | 40 | 2018 |
Gene–environment interaction: A variable selection perspective F Zhou, J Ren, X Lu, S Ma, C Wu Epistasis: Methods and Protocols, 191-223, 2021 | 35 | 2021 |
Network-based regularization for high dimensional SNP data in the case–control study of Type 2 diabetes J Ren, T He, Y Li, S Liu, Y Du, Y Jiang, C Wu BMC genetics 18, 1-12, 2017 | 26 | 2017 |
Semiparametric Bayesian variable selection for gene‐environment interactions J Ren, F Zhou, X Li, Q Chen, H Zhang, S Ma, Y Jiang, C Wu Statistics in Medicine 39 (5), 617-638, 2020 | 25 | 2020 |
Identification of prognostic genes and pathways in lung adenocarcinoma using a Bayesian approach Y Jiang, Y Huang, Y Du, Y Zhao, J Ren, S Ma, C Wu Cancer Informatics 16, 1176935116684825, 2017 | 20 | 2017 |
Robust Bayesian variable selection for gene–environment interactions J Ren, F Zhou, X Li, S Ma, Y Jiang, C Wu Biometrics 79 (2), 684-694, 2023 | 16 | 2023 |
Penalized Variable Selection for Lipid–Environment Interactions in a Longitudinal Lipidomics Study F Zhou, J Ren, G Li, Y Jiang, X Li, W Wang, C Wu Genes 10 (12), 1002, 2019 | 14 | 2019 |
Identifying gene–environment interactions with robust marginal Bayesian variable selection X Lu, K Fan, J Ren, C Wu Frontiers in Genetics 12, 667074, 2021 | 7 | 2021 |
Sparse group variable selection for gene–environment interactions in the longitudinal study F Zhou, X Lu, J Ren, K Fan, S Ma, C Wu Genetic Epidemiology 46 (5-6), 317-340, 2022 | 6 | 2022 |
The Bayesian regularized quantile varying coefficient model F Zhou, J Ren, S Ma, C Wu Computational Statistics & Data Analysis 187, 107808, 2023 | 5 | 2023 |
Two Streptococcus pyogenes emm types and several anaerobic bacterial species are associated with idiopathic cutaneous ulcers in children after community … B Griesenauer, Y Xing, KR Fortney, X Gao, C Gonzalez-Beiras, ... PLOS Neglected Tropical Diseases 16 (12), e0011009, 2022 | 5 | 2022 |
Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement Data F Zhou, J Ren, Y Liu, X Li, W Wang, C Wu Genes 13 (3), 544, 2022 | 4 | 2022 |
Evaluation of Clinical, Gram Stain, and Microbiological Cure Outcomes in Men Receiving Azithromycin for Acute Nongonococcal Urethritis: Discordant Cures Are Associated With … E Toh, X Gao, JA Williams, TA Batteiger, LA Coss, M LaPradd, J Ren, ... Sexually Transmitted Diseases 49 (1), 67-75, 2022 | 3 | 2022 |
Natural Clearance of Chlamydia trachomatis Infection Is Associated With Distinct Differences in Cervicovaginal Metabolites SJ Jordan, L Wilson, J Ren, K Gupta, S Barnes, WM Geisler The Journal of Infectious Diseases 228 (8), 1119-1126, 2023 | 2 | 2023 |
Package ‘spinBayes’: Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection J Ren, F Zhou, X Li, C Wu, Y Jiang https://cran.r-project.org/package=spinBayes, 2019 | 2 | 2019 |
The spike‐and‐slab quantile LASSO for robust variable selection in cancer genomics studies Y Liu, J Ren, S Ma, C Wu Statistics in Medicine, 2024 | 1 | 2024 |
Gene expression alterations in peripheral blood following sport-related concussion in a prospective cohort of collegiate athletes: a Concussion Assessment, Research and … E Simpson, JL Reiter, J Ren, Z Zhang, KN Nudelman, LD Riggen Jr, ... Sports medicine 54 (4), 1021-1032, 2024 | 1 | 2024 |