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2010
IEEE

Prediction of Gene Ontology Annotations Based on Gene Functional Clustering

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Prediction of Gene Ontology Annotations Based on Gene Functional Clustering
We propose an algorithm that predicts potentially missing Gene Ontology annotations, in order to speed up the time-consuming annotation curation process. The proposed method extends a previous work based on the singular value decomposition of the gene-term annotation matrix and incorporates gene clustering, based on gene functional similarity computed by means of the Gene Ontology annotations. We tested the prediction method by performing K-fold crossvalidation on the genomes of two organisms, Saccharomyces cerevisiae (SGD) and Drosophila melanogaster (FlyBase). Keywords-Annotation prediction; Singular Value Decomposition; gene similarity metrics
Marco Tagliasacchi, Roberto Sarati, Marco Masserol
Added 12 May 2011
Updated 12 May 2011
Type Journal
Year 2010
Where BIBE
Authors Marco Tagliasacchi, Roberto Sarati, Marco Masseroli
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