Incorporating functional inter-relationships into protein function prediction algorithms.

ABSTRACT:

Background

Functional classification schemes (e.g. the Gene Ontology) that serve as the basis for annotation efforts in several organisms are often the source of gold standard information for computational efforts at supervised protein function prediction. While successful function prediction algorithms have been developed, few previous efforts have utilized more than the protein-to-functional class label information provided by such knowledge bases. For instance, the Gene Ontology not only captures protein annotations to a set of functional classes, but it also arranges these classes in a DAG-based hierarchy that captures rich inter-relationships between different classes. These inter-relationships present both opportunities, such as the potential for additional training examples

SUBMITTER: Pandey G 

PROVIDER: S-EPMC2693438 | biostudies-literature | 2009 May

REPOSITORIES: biostudies-literature