Semantic particularity measure for functional characterization of gene sets using gene ontology.

ABSTRACT:

Background

Genetic and genomic data analyses are outputting large sets of genes. Functional comparison of these gene sets is a key part of the analysis, as it identifies their shared functions, and the functions that distinguish each set. The Gene Ontology (GO) initiative provides a unified reference for analyzing the genes molecular functions, biological processes and cellular components. Numerous semantic similarity measures have been developed to systematically quantify the weight of the GO terms shared by two genes. We studied how gene set comparisons can be improved by considering gene set particularity in addition to gene set similarity.

Results

We propose a new approach to compute gene set particularities based on the information conveyed by GO terms. A GO term inform

SUBMITTER: Bettembourg C 

PROVIDER: S-EPMC3904913 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature