Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty

Abstract

MOTIVATION Several measures have been recently proposed for quantifying the functional similarity between gene products according to well-structured controlled vocabularies where biological terms are organized in a tree or in a directed acyclic graph (DAG) structure. However, existing semantic similarity measures ignore two important facts. First, when… (More)
DOI: 10.1093/bioinformatics/bts129

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