Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis.

ABSTRACT:

Background

Gene set analysis aims to identify gene sets containing differentially expressed genes between two different experimental conditions. A representative example of gene sets is a gene regulatory network where multiple genes are linked with each other for regulation of gene expression. Most of statistical methods for gene set analysis were designed to capture group-based association signals, ignoring a genetic network structure. Consequently, they often fail to identify gene sets where the number of differentially expressed genes are only a few and they have sparse association signals.

Results

We propose a new computational method to utilize prior network knowledge for gene set analysis. The proposed method is essentially combines the coefficient estimates of network

SUBMITTER: Huang D 

PROVIDER: S-EPMC12403420 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature