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Measure the Semantic Similarity of GO Terms Using Aggregate Information Content

โœ Scribed by Xuebo Song, ; Lin Li, ; Srimani, Pradip K.; Yu, Philip S.; Wang, James Z.

Book ID
125548921
Publisher
IEEE
Year
2014
Tongue
English
Weight
493 KB
Volume
11
Category
Article
ISSN
1545-5963

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The rapid development of gene ontology (GO) and huge amount of biomedical data annotated by GO terms necessitate computation of semantic similarity of GO terms and, in turn, measurement of functional similarity of genes based on their annotations. In this paper we propose a novel and efficient metho

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Measurement of semantic relatedness has been addressed in a number of application tasks and by researchers in a variety of disciplines. Measurement of discrimination information of terms is a fundamental issue for many areas of science. In this study, we attempt to introduce relatedness measures bas