Publication
Title
BioGraph : unsupervised biomedical knowledge discovery via automated hypothesis generation
Author
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.
Language
English
Source (journal)
Genome biology. - London
Publication
London : 2011
ISSN
1465-6906
DOI
10.1186/GB-2011-12-6-R57
Volume/pages
12 :6 (2011) , p. R57,1-R57,12
ISI
000296646600005
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 10.01.2012
Last edited 15.11.2022
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