SimplifyEnrichment: A Bioconductor Package for Clustering and Visualizing Functional Enrichment Results.

ABSTRACT: Functional enrichment analysis or gene set enrichment analysis is a basic bioinformatics method that evaluates the biological importance of a list of genes of interest. However, it may produce a long list of significant terms with highly redundant information that is difficult to summarize. Current tools to simplify enrichment results by clustering them into groups either still produce redundancy between clusters or do not retain consistent term similarities within clusters. We propose a new method named binary cut for clustering similarity matrices of functional terms. Through comprehensive benchmarks on both simulated and real-world datasets, we demonstrated that binary cut could efficiently cluster functional terms into groups where terms showed consistent similarities within groups and

SUBMITTER: Gu Z 

PROVIDER: S-EPMC10373083 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature