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.
615 N. Wolfe Street, Room E3005
genomics; single-cell; bioinformatics; biostatistics; cancer immunotherapy
Experiences & Accomplishments
City University of Hong Kong
South China University of Technology
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.
- 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)
Big data methods for decoding gene regulation