A semi-automated methodology for finding lipid-related GO terms.

ABSTRACT:

Motivation

Although semantic similarity in Gene Ontology (GO) and other approaches may be used to find similar GO terms, there is yet a method to systematically find a class of GO terms sharing a common property with high accuracy (e.g., involving human curation).

Results

We have developed a methodology to address this issue and applied it to identify lipid-related GO terms, owing to the important and varied roles of lipids in many biological processes. Our methodology finds lipid-related GO terms in a semi-automated manner, requiring only moderate manual curation. We first obtain a list of lipid-related gold-standard GO terms by keyword search and manual curation. Then, based on the hypothesis that co-annotated GO terms share similar properties, we develop a machine learnin

SUBMITTER: Fan M 

PROVIDER: S-EPMC4160098 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature