Information content-based gene ontology semantic similarity approaches: toward a unified framework theory.

ABSTRACT: Several approaches have been proposed for computing term information content (IC) and semantic similarity scores within the gene ontology (GO) directed acyclic graph (DAG). These approaches contributed to improving protein analyses at the functional level. Considering the recent proliferation of these approaches, a unified theory in a well-defined mathematical framework is necessary in order to provide a theoretical basis for validating these approaches. We review the existing IC-based ontological similarity approaches developed in the context of biomedical and bioinformatics fields to propose a general framework and unified description of all these measures. We have conducted an experimental evaluation to assess the impact of IC approaches, different normalization models, and correction f

SUBMITTER: Mazandu GK 

PROVIDER: S-EPMC3775452 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature