EW_dmGWAS: Edge-weighted dense module search for genome-wide association studies and gene expression profiles

dmGWAS is designed to identify significant protein-protein interaction (PPI) modules and, from which, the candidate genes for complex diseases by an integrative analysis of GWAS dataset(s) and PPI network. The new algorithm, EW_dmGWAS, combines node weight, which are computed based on GWAS signals, and edge weight, which are computed based on gene expression data. Allow tissue-specific gene expression profile. For example, for breast cancer GWAS analysis, gene expression data from breast cancer patients can be used; for schizophrenia, gene expression data in brain tissues can be used.
All old versions are here: https://bioinfo.uth.edu/dmGWAS/dmGWAS_ol...