@article {17138587, title = {Prophet, a web-based tool for class prediction using microarray data}, journal = {Bioinformatics}, volume = {23}, number = {3}, year = {2007}, note = {

Medina, Ignacio Montaner, David Tarraga, Joaquin Dopazo, Joaquin Research Support, Non-U.S. Gov{\textquoteright}t England Bioinformatics (Oxford, England) Bioinformatics. 2007 Feb 1;23(3):390-1. Epub 2006 Nov 30.

}, pages = {390-1}, abstract = {

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. Availability: Prophet can be found at the URL http://prophet.bioinfo.cipf.es/ or within the GEPAS package at http://www.gepas.org/ Supplementary information: http://gepas.bioinfo.cipf.es/tutorial/prophet.html.

}, keywords = {babelomics, gepas, predictors}, url = {http://bioinformatics.oxfordjournals.org/cgi/content/full/23/3/390?view=long\&pmid=17138587}, author = {Medina, Ignacio and Montaner, D. and Tarraga, J. and Dopazo, J.} }