Literature DB >> 17138587

Prophet, a web-based tool for class prediction using microarray data.

Ignacio Medina1, David Montaner, Joaquín Tárraga, Joaquín Dopazo.   

Abstract

UNLABELLED: 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.

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Substances:

Year:  2006        PMID: 17138587     DOI: 10.1093/bioinformatics/btl602

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  15 in total

1.  Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling.

Authors:  Ignacio Medina; José Carbonell; Luis Pulido; Sara C Madeira; Stefan Goetz; Ana Conesa; Joaquín Tárraga; Alberto Pascual-Montano; Ruben Nogales-Cadenas; Javier Santoyo; Francisco García; Martina Marbà; David Montaner; Joaquín Dopazo
Journal:  Nucleic Acids Res       Date:  2010-05-16       Impact factor: 16.971

2.  Babelomics 5.0: functional interpretation for new generations of genomic data.

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Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

3.  miRNA expression profiling of formalin-fixed paraffin-embedded (FFPE) hereditary breast tumors.

Authors:  Miljana Tanić; Kira Yanowski; Eduardo Andrés; Gonzalo Gómez-López; María Rodríguez-Pinilla Socorro; David G Pisano; Beatriz Martinez-Delgado; Javier Benítez
Journal:  Genom Data       Date:  2014-11-22

4.  Identification of novel predictor classifiers for inflammatory bowel disease by gene expression profiling.

Authors:  Trinidad Montero-Meléndez; Xavier Llor; Esther García-Planella; Mauro Perretti; Antonio Suárez
Journal:  PLoS One       Date:  2013-10-14       Impact factor: 3.240

5.  Parallel changes in gene expression in peripheral blood mononuclear cells and the brain after maternal separation in the mouse.

Authors:  Johan H van Heerden; Ana Conesa; Dan J Stein; David Montaner; Vivienne Russell; Nicola Illing
Journal:  BMC Res Notes       Date:  2009-09-25

6.  FiGS: a filter-based gene selection workbench for microarray data.

Authors:  Taeho Hwang; Choong-Hyun Sun; Taegyun Yun; Gwan-Su Yi
Journal:  BMC Bioinformatics       Date:  2010-01-26       Impact factor: 3.169

7.  Proceedings of the 2008 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference.

Authors:  Jonathan D Wren; Dawn Wilkins; James C Fuscoe; Susan Bridges; Stephen Winters-Hilt; Yuriy Gusev
Journal:  BMC Bioinformatics       Date:  2008-08-12       Impact factor: 3.169

8.  Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene expression signatures.

Authors:  Chih-Hung Jen; Tsun-Po Yang; Chien-Yi Tung; Shu-Han Su; Chi-Hung Lin; Ming-Ta Hsu; Hsei-Wei Wang
Journal:  BMC Bioinformatics       Date:  2008-01-28       Impact factor: 3.169

9.  GeneSrF and varSelRF: a web-based tool and R package for gene selection and classification using random forest.

Authors:  Ramón Diaz-Uriarte
Journal:  BMC Bioinformatics       Date:  2007-09-03       Impact factor: 3.169

10.  GEPAS, a web-based tool for microarray data analysis and interpretation.

Authors:  Joaquín Tárraga; Ignacio Medina; José Carbonell; Jaime Huerta-Cepas; Pablo Minguez; Eva Alloza; Fátima Al-Shahrour; Susana Vegas-Azcárate; Stefan Goetz; Pablo Escobar; Francisco Garcia-Garcia; Ana Conesa; David Montaner; Joaquín Dopazo
Journal:  Nucleic Acids Res       Date:  2008-05-28       Impact factor: 16.971

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