Defining functional distances over gene ontology.

ABSTRACT:

Background

A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-structured ontologies exist regarding the activity of proteins (i.e. 'gene ontology' -GO-). However, functional metrics can overcome the problems in the comparing and evaluating functional assignments and predictions. As a reference of proximity, previous approaches to compare GO terms considered linkage in terms of ontology weighted by a probability distribution that balances the non-uniform 'richness' of different parts of the Direct Acyclic Graph. Here, we have followed a different approach to quantify functional similarities between GO terms.

Results

We propose a new method to derive 'functional dist

SUBMITTER: del Pozo A 

PROVIDER: S-EPMC2375122 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature