A literature-based similarity metric for biological processes.

ABSTRACT:

Background

Recent analyses in systems biology pursue the discovery of functional modules within the cell. Recognition of such modules requires the integrative analysis of genome-wide experimental data together with available functional schemes. In this line, methods to bridge the gap between the abstract definitions of cellular processes in current schemes and the interlinked nature of biological networks are required.

Results

This work explores the use of the scientific literature to establish potential relationships among cellular processes. To this end we have used a document based similarity method to compute pair-wise similarities of the biological processes described in the Gene Ontology (GO). The method has been applied to the biological processes annotated for the Sa

SUBMITTER: Chagoyen M 

PROVIDER: S-EPMC1579237 | biostudies-literature | 2006 Jul

REPOSITORIES: biostudies-literature