title: Prophet, a web-based tool for class prediction using microarray data.
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.
  
  
  BACKGROUND
  Prophet can be found at the URL http://prophet.bioinfo.cipf.es/ or within the GEPAS package at http://www.gepas.org/
  
  
  BACKGROUND
  http://gepas.bioinfo.cipf.es/tutorial/prophet.html.
authors.affiliation: Department of Bioinformatics, Centro de Investigación Príncipe Felipe, Valencia, E46013, Spain.
authors.forename: Ignacio
authors.initials: I
authors.lastname: Medina
authors.forename: David
authors.initials: D
authors.lastname: Montaner
authors.forename: Joaquín
authors.initials: J
authors.lastname: Tárraga
authors.forename: Joaquín
authors.initials: J
authors.lastname: Dopazo
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D020869:Gene Expression Profiling / Q000379:methods*; D020407:Internet; D005810:Multigene Family / Q000502:physiology*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D011506:Proteins / Q000145:classification / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology; D012984:Software
chemical_list: D011506:Proteins