Y. X. R. Wang

Review on statistical methods for gene network reconstruction using expression data.

Haiyan Huang, Y. X. R. Wang, Y.X. Rachel Wang, 2014, Journal of theoretical biology.

Network Modeling in Biology: Statistical Methods for Gene and Brain Networks.

Haiyan Huang, Lexin Li, J. Li, 2021, Statistical science : a review journal of the Institute of Mathematical Statistics.

Gene coexpression measures in large heterogeneous samples using count statistics

M. Waterman, Haiyan Huang, Y. X. R. Wang, 2014, Proceedings of the National Academy of Sciences.

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis

Peter J. Bickel, Y. X. Rachel Wang, Haiyan Huang, 2014, 1401.6504.

Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data

Jingyi Jessica Li, Xin Tong, Y. X. R. Wang, 2022, ArXiv.

GenomeDISCO: A concordance score for chromosome conformation capture experiments using random walks on contact map graphs

William Stafford Noble, Anshul Kundaje, Oana Ursu, 2017, bioRxiv.

NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATA.

Purnamrita Sarkar, Peter J. Bickel, Anshul Kundaje, 2017, The annals of applied statistics.

Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis

Peter J. Bickel, Haiyan Huang, Keni Jiang, 2014, 1401.6504.

Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data

Jingyi Jessica Li, Xin Tong, Y. X. R. Wang, 2022, Journal of the American Statistical Association.