MetaGSCA: A tool for meta-analysis of gene set differential coexpression.

ABSTRACT: Analyses of gene set differential coexpression may shed light on molecular mechanisms underlying phenotypes and diseases. However, differential coexpression analyses of conceptually similar individual studies are often inconsistent and underpowered to provide definitive results. Researchers can greatly benefit from an open-source application facilitating the aggregation of evidence of differential coexpression across studies and the estimation of more robust common effects. We developed Meta Gene Set Coexpression Analysis (MetaGSCA), an analytical tool to systematically assess differential coexpression of an a priori defined gene set by aggregating evidence across studies to provide a definitive result. In the kernel, a nonparametric approach that accounts for the gene-gene correlation str

SUBMITTER: Guo Y 

PROVIDER: S-EPMC8121311 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature