Functional analysis beyond enrichment: non-redundant reciprocal linkage of genes and biological terms.

ABSTRACT: Functional analysis of large sets of genes and proteins is becoming more and more necessary with the increase of experimental biomolecular data at omic-scale. Enrichment analysis is by far the most popular available methodology to derive functional implications of sets of cooperating genes. The problem with these techniques relies in the redundancy of resulting information, that in most cases generate lots of trivial results with high risk to mask the reality of key biological events. We present and describe a computational method, called GeneTerm Linker, that filters and links enriched output data identifying sets of associated genes and terms, producing metagroups of coherent biological significance. The method uses fuzzy reciprocal linkage between genes and terms to unravel their functi

SUBMITTER: Fontanillo C 

PROVIDER: S-EPMC3174934 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature