Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles.

ABSTRACT: Pathway analysis, including nontopology-based (non-TB) and topology-based (TB) methods, is widely used to interpret the biological phenomena underlying differences in expression data between two phenotypes. By considering dependencies and interactions between genes, TB methods usually perform better than non-TB methods in identifying pathways that include closely relevant or directly causative genes for a given phenotype. However, most TB methods may be limited by incomplete pathway data used as the reference network or by difficulties in selecting appropriate reference networks for different research topics. Here, we propose a gene set correlation enrichment analysis method, Gscore, based on an expression dataset-derived coexpression network to examine whether a differentially expressed g

SUBMITTER: Chang LY 

PROVIDER: S-EPMC10853793 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature