An evidence-based lexical pattern approach for quality assurance of Gene Ontology relations.

ABSTRACT: Gene Ontology (GO) is widely used in the biological domain. It is the most comprehensive ontology providing formal representation of gene functions (GO concepts) and relations between them. However, unintentional quality defects (e.g. missing or erroneous relations) in GO may exist due to the large size of GO concepts and complexity of GO structures. Such quality defects would impact the results of GO-based analyses and applications. In this work, we introduce a novel evidence-based lexical pattern approach for quality assurance of GO relations. We leverage two layers of evidence to suggest potentially missing relations in GO as follows. We first utilize related concept pairs (i.e. existing relations) in GO to extract relationship-specific lexical patterns, which serve as the first layer e

SUBMITTER: Abeysinghe R 

PROVIDER: S-EPMC9116247 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature