Computational algorithms to predict Gene Ontology annotations

Background Gene function annotations, which are associations between a gene and a term of a controlled vocabulary describing gene functional features, are of paramount importance in modern biology. Datasets of these annotations, such as the ones provided by the Gene Ontology Consortium, are used to...

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Veröffentlicht in:	BMC bioinformatics Jg. 16; H. Suppl 6; S. S4
Hauptverfasser:	Pinoli, Pietro, Chicco, Davide, Masseroli, Marco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 17.04.2015
Schlagworte:	Algorithms Animals Bioinformatics Biomedical and Life Sciences Cluster Analysis Computational Biology - methods Computational Biology/Bioinformatics Computer Appl. in Life Sciences Drosophila melanogaster - genetics Drosophila Proteins - genetics Gene Ontology Life Sciences Microarrays Molecular Sequence Annotation biomolecular annotations gene clustering Truncated Singular Value Decomposition Probabilistic Latent Semantic Analysis weighting schemes Gene Ontology Receiver Operating Characteristic
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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