Departmental Affiliations
Primary
Weiqiang Zhou, PhD, develops statistical and computational tools for integrative analysis of large-scale genomic data to study gene regulation in cancer and immune system.
Research Interests
genomics; single-cell; bioinformatics; biostatistics; cancer immunotherapy
Additional Links
Experiences & Accomplishments
Education
PhD
City University of Hong Kong
2013
BE
South China University of Technology
2008
Overview
My primary research interest is developing statistical and computational tools for integrative analysis of various types of large-scale genomic data. My current research projects include i) predicting chromatin accessibility based on gene expression, ii) developing new tools for integrating single-cell genomic data, and iii) discovering the genomic basis of heterogeneous response to cancer immunotherapy.
Select Publications
Selected publications
- Zhou, W. et al. Genome-wide Prediction of DNase I Hypersensitivity Using Gene Expression. Nature communications 8, 1038 (2017).
- Ji, Z., Zhou, W. & Ji, H. Single-cell regulome data analysis by SCRAT. Bioinformatics 33, 2930–2932 (2017). [Joint first author]
- Zhou, W., Sherwood, B. & Ji, H. Computational Prediction of the Global Functional Genomic Landscape: Applications, Methods and Challenges. Human Heredity 81 (2), 88-105 (2017).
- Jin, K. et al. (including Zhou, W.) HOXB7 Is an ERalpha Cofactor in the Activation of HER2 and Multiple ER Target Genes Leading to Endocrine Resistance. Cancer. Discov. 5, 944-959 (2015)
Projects
Big data methods for decoding gene regulation