Statistical Methods
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics

Zhu et al. (2023)

Spatially aware dimension reduction method in spatial transcriptomics

Shang et al. (2022)

Leveraging Gene Co-expression Patterns to Infer Trait-Relevant Tissues in Genome-wide Association Studies

Shang et al. (2020)

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

Shang et al. (2023)

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

Shang et al. (2020)

Review paper
A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell Types

Zhu et al. (2021)

Collaborative work
DNA methylation mediates the association between individual and neighborhood social disadvantage and cardiovascular risk factor

Wang et al. (2022)

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

Song et al. (2022)

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

Li et al. (2022)

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

Ammous et al. (2021)

Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations

Wen et al. (2021)

Genome-Wide Association Meta-Analysis of Individuals of European Ancestry Identifies Suggestive Loci for Sodium Intake, Potassium Intake, and Their Ratio Measured from 24-Hour or Half-Day Urine Samples

Kho et al. (2020)

Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies

Li et al. (2020)

Ranking Cancer Proteins by Integrating PPI Network and Protein Expression Profiles

Ren et al. (2019)