Peng Wei

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Professor

The University of Texas MD Anderson Cancer Center

United States

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About

Professor Peng Wei is a faculty member at the University of Texas MD Anderson Cancer Center in the United States. His research areas encompass oncology, particularly focusing on the statistical frameworks for analyzing cancer data, the role of metabolites in hepatocellular carcinoma, and the genetic risk variants related to various cancers. Recent publications highlight his work on patient responses to treatment in breast cancer and advances in tumor imaging techniques.

Recent Grants

Grant: Close

Genome-wide gene-by-smoking interaction analysis of pulmonary function

Open Date: 2014-12-15

Close Date: 2017-11-30

Grant: Close

Genetic Susceptibility and Risk Model for Pancreatic Cancer

Open Date: 2013-09-17

Close Date: 2017-05-31

Grant: Close

Association analysis of rare variants with sequencing data

Open Date: 2013-09-01

Close Date: 2021-07-31

Articles (17)

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2025

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2022

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2022

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2022

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2021

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UNITED STATES

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Chunlin Li

Assistant Professor

Iowa State University

UNITED STATES

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Megan Jacobsen

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Ryan Sun

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Professor of Medicine and Surgery (tenured); Chief of Hepatology

Baylor College of Medicine

UNITED STATES

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Peng Wei

Research Interests

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About

Recent Grants

Articles (17)

Human Papilloma Virus Circulating Cell-Free DNA Kinetics in Patients with Cervical Cancer Undergoing Definitive Chemoradiation

Metabolomics biomarkers of hepatocellular carcinoma in a prospective cohort of patients with cirrhosis

Identification of Pancreatic Cancer Germline Risk Variants With Effects That Are Modified by Smoking

Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting

A novel statistical framework for meta-analysis of total mediation effect with high-dimensional omics mediators in large-scale genomic consortia

Assessment of Response to Neoadjuvant Systemic Treatment in Triple-Negative Breast Cancer Using Functional Tumor Volumes from Longitudinal Dynamic Contrast-Enhanced MRI

Functional Genetic Variants in TGFβ1 and TGFβR1 in miRNA-Binding Sites Predict Outcomes in Patients with HPV-positive Oropharyngeal Squamous Cell Carcinoma

A novel promoter of endothelial dysfunction in African Americans: Relevance to sickle cell anaemia

Treatment Strategies and Mechanisms Associated with the Prevention of NASH-Associated HCC by a Toll-like Receptor 4 Inhibitor

Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer

Data‐adaptive and pathway‐based tests for association studies between somatic mutations and germline variations in human cancers

Identification of novel susceptibility methylation loci for pancreatic cancer in a two-phase epigenome-wide association study

TP53 copy number and protein expression inform mutation status across risk categories in acute myeloid leukemia

Predicting outcomes of phase III oncology trials with Bayesian mediation modeling of tumor response

Estimation of total mediation effect for high-dimensional omics mediators.

Radiomics, deep learning and early diagnosis in oncology

Lipidomic Profiles of Plasma Exosomes Identify Candidate Biomarkers for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis

Collaborators (13)

Neil Gross

Aradhana Venkatesan

David Swanson

Han Chen

Beretta Laura

Mary S Guirguis

Chunlin Li

Megan Jacobsen

Ryan Sun

Naishu Kui

Ken-Pin Hwang

Jia Wu

John Vierling

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