Yang Shi, Ph.D.
Address
Karmanos Cancer Institute, 4100 John R MM03BI, Detroit, MI 48201Office address
87 E Canfield, Mid-Med Lofts Suite 305
Department
Oncology
Laboratory web site
https://scholar.google.com/citations?user=V3TLe8sAAAAJ&hl=en
Research interests
• Bioinformatics and multi-omics data analysis in cancer research
• Machine learning and AI approaches with applications in biomedical data analysis
• Computational statistics and Monte Carlo methods with applications in biomedical research
Research description
Dr. Yang Shi’s research lies at the intersection of bioinformatics, machine learning, and computational statistics, with application focus on biomedical data analysis. His work involves integrative analysis of multi-omics data, including genomics, transcriptomics, epigenomics, and proteomics, to uncover molecular mechanisms and therapeutic targets in cancer. He develops and applies advanced computational and statistical approaches to analyze high-dimensional biomedical datasets, enabling predictive modeling and biomarker discovery.
Recent publications
Bannoura SF, Aboukameel A, Yar Khan H, Uddin MH, Jang H, Beal E, Thangasamy A, Shi Y, Kim S, Wagner KU, Beydoun R, El-Rayes BF, Philip PA, Mohammad RM, Saif MW, Al-Hallak MN, Pasche BC, Azmi AS (2024). RCC1 regulation of subcellular protein localization via Ran GTPase drives pancreatic ductal adenocarcinoma growth. Cancer Letters, 2024;217275.
Shi Y, Shi W, Wang M, Lee J, Kang H, Jiang H. Accurate and fast small p-value estimation for permutation tests in high-throughput genomic data analysis with the cross-entropy method. Statistical Applications in Genetics and Molecular Biology, 2023;22:20210067.
Shi Y, Lee J, Kang H, Jiang H. A two-part mixed model for differential expression analysis in single-cell high-throughput gene expression data. Genes, 2022;13: 377.
Shi Y, Wang M, Shi W, Lee J, Kang H, Jiang H. Accurate and efficient estimation of small p-values with the cross-entropy method: applications in genomic data analysis. Bioinformatics, 2019;35:2441-8.
Shi Y and Lee J. Sample size calculations for group randomized trials with unequal group sizes through Monte Carlo simulations. Statistical Methods in Medical Research, 2018;27: 2569-80.
Orlow I, Shi Y, Kanetsky PA, Thomas NE, Luo L, Corrales‐Guerrero S, Cust AE, Sacchetto L, Zanetti R, Rosso S, Armstrong BK, Dwyer T, Venn A, Gallagher RP, Gruber SB, Marrett LD, Anton‐Culver H, Busam K, Begg CB, Berwick M, GEM Study Group, Roy P, Patel H, Yoo S, Reiner A, Paine S, Kricker A, Tucker P, From L, Ollila DW, Groben PA, Rebbeck TR, Taylor JL, Madronich S (2018). The interaction between vitamin D receptor polymorphisms and sun exposure around time of diagnosis influences melanoma survival. Pigment Cell & Melanoma Research, 2018;31:287-96.
Education/training
Ph.D. in Biostatistics (2016), University of Michigan, Ann Arbor, Michigan
M.S. in Biostatistics (2013), University of Michigan, Ann Arbor, Michigan
B.S. in Biological Science (2009), Peking University, Beijing, China