@article {17138587,
	title = {Prophet, a web-based tool for class prediction using microarray data},
	journal = {Bioinformatics},
	volume = {23},
	number = {3},
	year = {2007},
	note = {<p>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.</p>},
	pages = {390-1},
	abstract = {<p>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.</p>},
	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.}
}
