title: VIBE 2.0: visual integration for bayesian evaluation.
abstract: 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.
  
  
  BACKGROUND
  http://omics.pnl.gov/software/VIBE.php.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Computational Mathematics, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
authors.forename: Nathaniel
authors.initials: N
authors.lastname: Beagley
authors.forename: Kelly G
authors.initials: KG
authors.lastname: Stratton
authors.forename: Bobbie-Jo M
authors.initials: BJ
authors.lastname: Webb-Robertson
mesh_terms: D001499:Bayes Theorem; D003196:Computer Graphics; D003628:Database Management Systems; D016208:Databases, Factual; D023281:Genomics; D055432:Metabolomics; D020543:Proteome / Q000032:analysis; D040901:Proteomics; D012984:Software; D014584:User-Computer Interface
chemical_list: D020543:Proteome