Li Yan, PhD, is Assistant Professor of the Department of Biostatistics and Bioinformatics of Roswell Park Cancer Institute (RPCI). His key research interests and expertise include statistical methods and software for omics data, biomarker discovery and statistical methods for combination of biomarkers, survival analysis in translational and clinical research, parallel and distributed computing methods for genomic cancer research and other big data, and experimental design for omics studies. His collaboration works cover wide range of subject areas including breast, prostate, pancreas and other cancers, blood and marrow transplant, Alzheimer¹s disease and other diseases. He has authored or co-authored over 70 peer-reviewed methodological and collaborative publications.
Yan L, Tian L, Liu S, Combining large number of weak biomarkers based on AUC. Stat Med. 2015 Dec 20;34 (29):3811-30
Yan, L., Ma, C., Wang, D., Hu, Q., Qin, M., Conroy, J.M., & et al. (2012). OSAT: a tool for sample-to-batch allocations ingenomics experiments. BioMed Central Genomics, 13(1), 689. PMCID: PMC3548766
Tian, L., Vexler, A., Yan, L., & Schisterman, E.F. (2009).Confidence interval estimation of the difference between paired AUCs based on combined biomarkers. Journal of Statistical Planning and Inference, 139(10), 3725-3732.
Zhu, Qianqian; Yan, Li; Liu Q; Hu Q; Preus L; Clay AI; Onel K; Stram DO; Pooler LC; Sheng X; Haiman CA; Zhu X; Spellman SR; Pasquini MC; McCarthy, Philip L; Liu, Song; Hahn, Theresa E; Campbell, Lara E, ³Exome Array Analyses Identify New Genes Influencing Survival Outcomes after HLA-Matched Unrelated Donor Blood and Marrow Transplantation², Blood, 2016; 128(22), 518.
Jeter CR, Liu B, Lu Y, Chao H-P, Zhang D, Liu X, Chen X, Li Q, Rycaj K, Calhoun-Davis T, Yan Y, Hu Q, Wang J, Shen J, Liu S & Tang D. NANOG reprograms prostate cancer cells to castration resistance via dynamically repressing and engaging the AR/FOXA1 signaling axis. Cell Discovery. 2016 Nov 15;2:16041.