Statistical Bioinformatics Lab

Dr. Wenyi Wang is a data scientist and an Associate Professor in the Department of Bioinformatics and Computational Biology at the University of Texas MD Anderson Cancer Center. She works in the area of statistical methods for high-throughput genomic data, cancer risk assessment and Bayesian modeling. Her academic background is in both statistics and biology. Her main interest lies in wrangling with big data such as those in cancer multi-omics, and making sense out of it. Her lab’s statistical methodology development is data-driven and often coupled with solving an important biological question. The lab’s two research focuses are:
1) Cancer risk prediction models using TP53 mutation-associated Li-Fraumeni syndrome as a model and
2) Tumor heterogeneity and evolution using computational deconvolution of multi-omics data, including transcriptomic and genomic data, single cell data and imaging data.

PI: Wenyi Wang

Department of Bioinformatics and Computational Biology

Wenyi Wang (王文漪), Associate (Tenured) Professor, Department of Bioinformatics and Computational Biology, Division of Basic Science Research, The University of Texas MD Anderson, Cancer Center, Houston, Texas

Curriculum Vitae

Latest News

31Jan
2020

DeMixT 1.2.3 released!

Available on Bioconductor and GitHub

11Oct
2019

Our two companion papers on LFS are accepted at Cancer Research!

TP53 mutation associated cancer-specific, or multiple-primary-cancer onset penetrances.

New member
18Sep
2019

Welcome! New postdoctoral fellow Dr. Shuangxi Ji.

Dr. Shuangxi Ji received a PhD in Biological Sciences from University of Birmingham.

czi
21Aug
2019

Awarded! CZI Seed Network Fund for Human Cell Atlas

We are member of the Retina team.

bioconductor
23May
2019

DeMixT is on Bioconductor.

Recommended download from Bioconductor

GCC
10Jan
2019

MD/PhD student Carlos Vera Recio received NLM fellowship Congrats!

National Library of Medicine (NLM) Training Program in Biomedical Informatics and Data Science

19-3060_Dodd_V3
9Oct
2018

DeMixT paper accepted

Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration will be published by iScience!

biostatspaper
9Sept
2018

Multiple primary model accepted

Our Bayesian estimation of a semiparametric recurrent event model for estimation of multiple primary cancers paper has been accepted by Biostatistics!

csrgithubpic
5May
2018

A new subclonal clustering method

Accompanying PCAWG11, our lab has developed is a new consensus clustering for subclonal reconstruction software, CSR (pronounced "Caesar").

hetpaperpic
5May
2018

PCAWG Results

A huge endeavor of the Pan-Cancer Analysis Working Group (PCAWG): Portraits of genetic intra-tumour heterogeneity (ITH) and subclonal selection across cancer types.

jasapaperpic
29Apr
2018

LFS statistical model accepted

Our first statistical modeling work for the Li-Fraumeni Syndrome (LFS) is acceptd by Journal of the American Statistical Association after a 3-year journey! Congrats everyone!

trainingprogrampic
29Apr
2018

Postdocs opportunities

My TAMU collaborator Val Johnson and I are jointly recruiting postdocs in cancer bioinformatics through this 2-year training program at TAMU. Citizenship or green card required. Send us your CV if interested.

Group Members

LIFE IN HOUSTON

1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
1 / 12
Happy hour
Relax
Downtown
Elephants
Group Members
Hotpot
Houston Museum
Summer Celebration
Houston Zoo
TMC
Metro
Houston Astros