Understanding Genomic Variation in Human Health & Disease

We are a group of researchers interested in understanding genomic variation in the context of human health.

We have been dedicated to developing statistical methods to make sense of genetic and omics data from large cohorts, with the goal of better diagnosing, treating, and preventing complex diseases.

Research interests

Genomic variation and human complex traits

Human genetics-informed discovery of new disease therapeutic targets

Single-cell and spatial transcriptomics in human genetics

Application of artificial intelligence in genetics and multi-omics

Cancer genetics and genomics

Development of high-performance bioinformatics methods and tools

YangLab

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