GS2: an efficiently computable measure of GO-based similarity of gene sets.

ABSTRACT:

Motivation

The growing availability of genome-scale datasets has attracted increasing attention to the development of computational methods for automated inference of functional similarities among genes and their products. One class of such methods measures the functional similarity of genes based on their distance in the Gene Ontology (GO). To measure the functional relatedness of a gene set, these measures consider every pair of genes in the set, and the average of all pairwise distances is calculated. However, as more data becomes available and gene sets used for analysis become larger, such pair-based calculation becomes prohibitive.

Results

In this article, we propose GS(2) (GO-based similarity of gene sets), a novel GO-based measure of gene set similarity that is compu

SUBMITTER: Ruths T 

PROVIDER: S-EPMC2672633 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature