Lulu Shang

Assistant Professor

The University of Texas MD Anderson Cancer Center

United States

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About

Dr. Lulu Shang is an Assistant Professor at The University of Texas MD Anderson Cancer Center in the United States. Her research focuses on spatial transcriptomics, cell type-specific gene identification, and the genetic determinants of health disparities. Recent publications include work on multi-ancestry transcriptome-wide association studies and innovative methods for analyzing tumor microenvironments. Dr. Shang is dedicated to advancing the understanding of complex biological systems through advanced statistical and computational approaches.

Articles (14)

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2020

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2020

Collaborators (3)

Xiang Zhou

University of Michigan

UNITED STATES

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Jennifer Ann Smith

Research Associate Professor

University of Michigan

UNITED STATES

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Yongsheng Bai

Eastern Michigan University

UNITED STATES

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Lulu Shang

Research Interests

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About

Articles (14)

Statistical identification of cell type-specific spatially variable genes in spatial transcriptomics

Multi-Ancestry Transcriptome-Wide Association Studies of Cognitive Function, White Matter Hyperintensity, and Alzheimer's Disease

Unraveling Tissue Complexity Through Single-Cell and Spatial Transcriptomics

SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology

meQTL mapping in the GENOA study reveals genetic determinants of DNA methylation in African Americans.

SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics

Spatially aware dimension reduction for spatial transcriptomics

Identification of functionally important miRNA targeted genes associated with child obesity trait in genome-wide association studies

DNA Methylation Mediates the Association Between Individual and Neighborhood Social Disadvantage and Cardiovascular Risk Factors

METRO: Multi-ancestry transcriptome-wide association studies for powerful gene-trait association detection

Spatial transcriptomics

Epigenome-wide association study identifies DNA methylation sites associated with target organ damage in older African Americans

Leveraging gene co-expression patterns to infer trait-relevant tissues in genome-wide association studies

Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA

Collaborators (3)

Xiang Zhou

Jennifer Ann Smith

Yongsheng Bai

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