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BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation.


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.

SUBMITTER: Liekens AM 

PROVIDER: S-EPMC3218845 | biostudies-other | 2011

REPOSITORIES: biostudies-other

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BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation.

Liekens Anthony M L AM   De Knijf Jeroen J   Daelemans Walter W   Goethals Bart B   De Rijk Peter P   Del-Favero Jurgen J  

Genome biology 20110622 6


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 b  ...[more]

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