VIBE: Visual Integration for Bayesian Evaluation
The Visual Integration for Bayesian Evaluation (VIBE) software is a visualization tool that allows the user to observe classification accuracies at the class level and evaluate classification accuracies on any subset of available data types based on the posterior probability models defined for the individual and integrated data.
This software helps you integrate data from various high-throughput proteomics and metabolomics technologies using a Bayesian approach to integration that uses posterior probabilities to assign class memberships to samples using individual and multiple data sources; these probabilities are based on lower-level likelihood functions derived from standard statistical learning algorithms.
Instructions for use:
- 1) Download and install the Matlab Compiler Runtime v7.11, MCRInstaller_v7.11.zip
- 2) Download VIBE_Program.zip and unzip to a new folder
- 3) Run VIBEv2_appnote.exe
See file UserManualv2.pdf for information on using the software (this file is included in VIBE_Program.zip).
See file FAQv2.pdf for some frequently asked questions and answers.
| Download Software Tool | Download Matlab Runtime v7.11 |
| Version | v2.0 | Requirements | Matlab Compiler Runtime, v7.11 |
| Date Updated | October 5, 2009 | File Size (Software Tool) | 1.9 MB (ZIP) |
| Registration Required | No | File size (Matlab Runtime) | 167 MB (ZIP) |
| Developers | Bobbie-Jo Webb-Robertson, Nathanial Beagley, and Kelly Stratton | ||
| Comments | See the complete Revision History for a history of changes | ||
- Manuscript
- 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. "A Bayesian
integration model of high-throughput proteomics and metabolomics data for improved early
detection of microbial infections." Pac Symp Biocomput. 2009:451-63.
Abstract on PubMed
Acknowledgment
All publications that utilize this software should provide appropriate acknowledgement to PNNL and the OMICS.PNL.GOV website. However, if the software is extended or modified, then any subsequent publications should include a more extensive statement, using this text or a similar variant:
This work was supported through the Laboratory Directed Research and Development at Pacific Northwest National Laboratory (PNNL) and the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research under contract No. 47901. PNNL is a multiprogram national laboratory operated by Battelle for the U.S. DOE under contract DE-AC06-76L01830.