Statistical Bioinformatics Lab

Dr. Wang's lab is centered around large-scale complex data sets in recent genomic and familial studies and around important biological questions that emerge from the analysis of these data. The team focuses on the development of methods and software for the accurate measurement of high-throughput genomic data.

PI: Wenyi Wang

Department of Bioinformatics and Computational Biology

Wenyi Wang (王文漪) is an associate professor at Department of Bioinformatics and Computational Biology and Department of Biostatistics, MD Anderson Cancer center. She works in the area of statistical methods for high-throughput genomic data, cancer risk assessment and Bayesian modeling.

Curriculum Vitae

Latest News

December 10, 2017

Our TAMU collaborators Amir and Val's latest work on Bayesian variable selection for survival outcomes is on arXiv. Read the preprint here

November 29, 2017

Jialu Li's paper on accurate RNAseq profiling of FFFPE tumor samples is accepted by Journal of Clinical Oncology Precision Oncology. Congratulations team!

April 12, 2017

Congratulations to the new graduates, Zeya Wang and Jialu Li!

March 31, 2017

DeMixT R package for two-component or three-component deconvolution of tumor transcriptomic data is available.

January 27, 2017

Our LFSPRO paper is online at CEBP. Congrats to Gang Peng!

January 20, 2017

Our Bayesian semiparametric modeling work for Li-Fraumeni syndrome cancer outcomes is available on arXiv.

Group Members

Get in touch

Main Office


Bioinformatics & Computational Biology
Official MDACC Website
Department of Bioinformatics and Computational Biology
The University of Texas M. D. Anderson Cancer Center
Email : wwang7@mdanderson.org
Phone : 713-794-4934
Fax : 713-563-4242