Journal Article

VIBE 2.0: Visual Integration for Bayesian Evaluation

Nathaniel Beagley, Kelly G. Stratton and Bobbie-Jo M. Webb-Robertson

in Bioinformatics

Volume 26, issue 2, pages 280-282
Published in print January 2010 | ISSN: 1367-4803
Published online November 2009 | e-ISSN: 1460-2059 | DOI:

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Summary: 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.

Journal Article.  1729 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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