VIBE 2.0: visual integration for bayesian evaluation.
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.
Beagley
Nathaniel
N
Computational Mathematics, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Stratton
Kelly G
KG
Webb-Robertson
Bobbie-Jo M
BJ
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
D020543:Proteome