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BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation.
Liekens, Anthony M L; De Knijf, Jeroen; Daelemans, Walter; Goethals, Bart; De Rijk, Peter; Del-Favero, Jurgen.
Afiliação
  • Liekens AM; Applied Molecular Genomics group, VIB Department of Molecular Genetics, Universiteit Antwerpen, Universiteitsplein 1, Wilrijk, Belgium. anthony@liekens.net
Genome Biol ; 12(6): R57, 2011 Jun 22.
Article em En | MEDLINE | ID: mdl-21696594
ABSTRACT
We present BioGraph, a data integration and data mining platform for the exploration and discovery of biomedical information. The platform offers prioritizations of putative disease genes, supported by functional hypotheses. We show that BioGraph can retrospectively confirm recently discovered disease genes and identify potential susceptibility genes, outperforming existing technologies, without requiring prior domain knowledge. Additionally, BioGraph allows for generic biomedical applications beyond gene discovery. BioGraph is accessible at http//www.biograph.be.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Mineração de Dados Limite: Humans Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Mineração de Dados Limite: Humans Idioma: En Ano de publicação: 2011 Tipo de documento: Article