BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation

Genome Biol. 2011 Jun 22;12(6):R57. doi: 10.1186/gb-2011-12-6-r57.


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

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology*
  • Data Mining*
  • Databases, Factual
  • Genome-Wide Association Study
  • Humans
  • Schizophrenia / genetics
  • Software*
  • Systems Integration