VIBE 2.0：贝叶斯评估的可视化集成。
VIBE 2.0: visual integration for bayesian evaluation.
机构信息
Computational Mathematics, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
出版信息
Bioinformatics. 2010 Jan 15;26(2):280-2. doi: 10.1093/bioinformatics/btp639. Epub 2009 Nov 17.
UNLABELLED
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.
AVAILABILITY
http://omics.pnl.gov/software/VIBE.php.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
未标记
数据融合方法是评估旨在发现直接不可观测系统可测量特征的实验的有力工具。我们描述了一个交互式软件平台，即用于贝叶斯评估的可视化集成，它可以摄取或创建贝叶斯后验概率矩阵，执行数据融合，并允许用户交互式评估融合各种数据源（如转录组学、蛋白质组学、代谢组学、生物化学和功能）的分类能力。
可用性
http://omics.pnl.gov/software/VIBE.php。
补充信息
补充数据可在Bioinformatics 在线获得。
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