BAGSE: a Bayesian hierarchical model approach for gene set enrichment analysis.

ABSTRACT:

Motivation

Gene set enrichment analysis has been shown to be effective in identifying relevant biological pathways underlying complex diseases. Existing approaches lack the ability to quantify the enrichment levels accurately, hence preventing the enrichment information to be further utilized in both upstream and downstream analyses. A modernized and rigorous approach for gene set enrichment analysis that emphasizes both hypothesis testing and enrichment estimation is much needed.

Results

We propose a novel computational method, Bayesian Analysis of Gene Set Enrichment (BAGSE), for gene set enrichment analysis. BAGSE is built on a Bayesian hierarchical model and fully accounts for the uncertainty embedded in the association evidence of individual genes. We adopt an empirical

SUBMITTER: Hukku A 

PROVIDER: S-EPMC7523653 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature