Work

Analysis of metabolic and regulatory pathways through Gene Ontology-derived semantic similarity measures.

Year: 2005

Type: article

Abstract: This study investigates the feasibility of applying Gene Ontology (GO)-derived semantic similarity methods to the biological pathway analysis. The results derived from the analysis of human metabolic and regulatory pathways are consistent with the network biology. It suggests that the semantic similarity measurement may be used to help the pathway modeling.

Source: Europe PMC (PubMed Central)

Authors: Xiang Guo, Craig D Shriver, Hai Hu, Michael N Liebman

Institution: Windber Research Institute

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W75900285

FWCI: 0.103

Cites: 2

Cited by: 9

Related to: 10