SSIF: Subsumption-based Sub-term Inference Framework to audit Gene Ontology.

ABSTRACT:

Motivation

The Gene Ontology (GO) is the unifying biological vocabulary for codifying, managing and sharing biological knowledge. Quality issues in GO, if not addressed, can cause misleading results or missed biological discoveries. Manual identification of potential quality issues in GO is a challenging and arduous task, given its growing size. We introduce an automated auditing approach for suggesting potentially missing is-a relations, which may further reveal erroneous is-a relations.

Results

We developed a Subsumption-based Sub-term Inference Framework (SSIF) by leveraging a novel term-algebra on top of a sequence-based representation of GO concepts along with three conditional rules (monotonicity, intersection and sub-concept rules). Applying SSIF to the October 3, 201

SUBMITTER: Abeysinghe R 

PROVIDER: S-EPMC7214018 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature