Medina Ignacio, Montaner David, Tárraga Joaquín, Dopazo Joaquín
Department of Bioinformatics, Centro de Investigación Príncipe Felipe, Valencia, E46013, Spain.
Bioinformatics. 2007 Feb 1;23(3):390-1. doi: 10.1093/bioinformatics/btl602. Epub 2006 Nov 30.
Sample classification and class prediction is the aim of many gene expression studies. We present a web-based application, Prophet, which builds prediction rules and allows using them for further sample classification. Prophet automatically chooses the best classifier, along with the optimal selection of genes, using a strategy that renders unbiased cross-validated errors. Prophet is linked to different microarray data analysis modules, and includes a unique feature: the possibility of performing the functional interpretation of the molecular signature found.
Prophet can be found at the URL http://prophet.bioinfo.cipf.es/ or within the GEPAS package at http://www.gepas.org/
样本分类和类别预测是许多基因表达研究的目标。我们展示了一个基于网络的应用程序Prophet，它可以构建预测规则并允许将其用于进一步的样本分类。Prophet使用一种能产生无偏交叉验证误差的策略自动选择最佳分类器以及基因的最优选择。Prophet与不同的微阵列数据分析模块相链接，并且具有一个独特的功能：对所发现的分子特征进行功能解释的可能性。
可在网址http://prophet.bioinfo.cipf.es/找到Prophet，或者在http://www.gepas.org/的GEPAS软件包中找到。
