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Updated: Aug 7, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
Analysis of metabolic and regulatory pathways through Gene Ontology-derived semantic similarity measures
Xiang Guo1, Craig D Shriver, Hai Hu
1Windber Research Institute, Windber, PA, USA.
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.
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