VIBE 2.0: visual integration for bayesian evaluation.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 19933164.
- Also identified by DOI 10.1093/bioinformatics/btp639 and PMC identifier 2804300.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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. http://omics.pnl.gov/software/VIBE.php. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Bayes Theorem
- Software