VIBE 2.0: Visual Integration for Bayesian Evaluation

Bioinformatics. 2010 Jan 15;26(2):280-2. doi: 10.1093/bioinformatics/btp639. Epub 2009 Nov 17.


Data fusion methods are powerful tools for evaluating experiments designed to discover measurable features of directly unobservable systems. We describe an interactive software platform, Visual Integration for Bayesian Evaluation, that ingests or creates bayesian posterior probability matrices, performs data fusion and allows the user to interactively evaluate the classification power of fusing various combinations of data sources, such as transcriptomic, proteomics, metabolomics, biochemistry and function.


Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bayes Theorem*
  • Computer Graphics
  • Database Management Systems
  • Databases, Factual
  • Genomics
  • Metabolomics
  • Proteome / analysis
  • Proteomics
  • Software*
  • User-Computer Interface


  • Proteome