Dr. Li Yan Dr. Li Yan

Li Yan

PhD

Special Interests:

Statistical Biomarker Discovery and Validation Methods, Translational Bioinformatics, Pharmacogenomics, Survival Analysis and Competing Risk Analysis, Precision Medicine, Computational methods for genomic and other big data

About Me

Biography:

Li Yan, PhD, is Assistant Professor of the Department of Biostatistics and Bioinformatics of Roswell Park Cancer Institute (Roswell Park). 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.


Credentials

Positions

Roswell Park Comprehensive Cancer Center
  • Assistant Member of Clinical Research
  • Assistant Professor of Oncology

Background

Education and Training:

  • Ph.D. in Biostatistics, 2013, SUNY at Buffalo, NY
  • Ph.D. in Physics, 2002, University of Rochester, NY
  • B.S. in Physics, 1988, Shandong University, China

Professional Memberships:

  • American Statistical Association

Honors & Awards

  • Kodak Fellowship 1998-2002

Publications

Full Publications list on PubMed

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.