Introduction

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.http://omics.pnl.gov/software/VIBE.php.Supplementary data are available at Bioinformatics online.

Publications

  1. VIBE 2.0: visual integration for bayesian evaluation.
    Cite this
    Beagley N, Stratton KG, Webb-Robertson BJ, 2010-01-01 - Bioinformatics (Oxford, England)
  2. A Bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections.
    Cite this
    Webb-Robertson BJ, McCue LA, Beagley N, McDermott JE, Wunschel DS, Varnum SM, Hu JZ, Isern NG, Buchko GW, Mcateer K, Pounds JG, Skerrett SJ, Liggitt D, Frevert CW, 2009-01-01 - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Credits

  1. Nathaniel Beagley
    Developer

    Computational Mathematics, Pacific Northwest National Laboratory, United States of America

  2. Kelly G Stratton
    Developer

  3. Bobbie-Jo M Webb-Robertson
    Investigator

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Summary
AccessionBT005867
Tool TypeApplication
Category
PlatformsWindows
Technologies
User InterfaceTerminal Command Line
Download Count0
Submitted ByBobbie-Jo M Webb-Robertson