Skip to content

Welcome to JianYang Lab!

We are a team of researchers focused on understanding genomic variation and its impact on human health. Our work involves developing advanced statistical methods to analyze genetic and omics data from large cohorts, with the aim of improving the diagnosis, treatment, and prevention of complex diseases.

Our research areas include genomic variation and population health, molecular mechanisms underlying complex traits and diseases, genomic risk prediction, cancer genomics, and the development of bioinformatics tools.

Pinned Loading

  1. MeDuSA MeDuSA Public

    MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance in bulk RNA-seq data.

    R 43 3

  2. gsMap gsMap Public

    Integrating GWAS and spatial transcriptomics for spatially resolved mapping of cells associated with human complex traits.

    Python 170 15

  3. adview adview Public

    Adata Viewer: Head/Less/Shape h5ad file in terminal

    Rust 11

  4. GCTA GCTA Public

    C++ 3

  5. SMR-Portal SMR-Portal Public

    Forked from jianyanglab/SMR-Portal

    SMR-Portal: an online platform for integrative analysis of GWAS and xQTL data to identify complex trait genes.

    Vue

  6. gsmr2 gsmr2 Public

    The gsmr R-package implements the GSMR (Generalised Summary-data-based Mendelian Randomisation) method that uses GWAS summary statistics to test for a putative causal association between two phenot…

    R 17 1

Repositories

Showing 10 of 15 repositories

Top languages

Loading…

Most used topics

Loading…