Applicability of semi-supervised learning assumptions for gene ontology terms prediction

Gene Ontology (GO) is one of the most important resources in bioinformatics, aiming to provide a unified framework for the biological annotation of genes and proteins across all species. Predicting GO terms is an essential task for bioinformatics, but the number of available labelled proteins is in...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Revista Facultad de Ingeniería Universidad de Antioquia
Egile Nagusiak: Jorge Alberto Jaramillo-Garzón, César Germán Castellanos-Domínguez, Alexandre Perera-Lluna
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Universidad de Antioquia 2016
Gaiak:
Ingeniería
Semi
gene ontology
supervised learning
support vector machines
protein function prediction
Sarrera elektronikoa:https://www.redalyc.org/articulo.oa?id=43045911003
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