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

Bioinformatics

Volumn 23, Issue 3, 2007, Pages 390-391

  Medina, Ignacio ^a   Montaner, David ^a   Tárraga, Joaquín ^a   Dopazo, Joaquín ^a  

^a CENTRO DE INVESTIGACIÓN PRÍNCIPE FELIPE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; AUTOMATION; BIOINFORMATICS; CLASSIFIER; COMPUTER INTERFACE; COMPUTER PREDICTION; COMPUTER PROGRAM; DNA MICROARRAY; GENE EXPRESSION; INFORMATION PROCESSING; PRIORITY JOURNAL;

EID: 33847296704     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl602     Document Type: Article

References (16)

1. Al-Shahrour,F. et al. (2004) FatiGO: A web tool for finding significant associations of Gene Ontology terms with groups of genes. Bioinformatics, 20, 578-580.
2. Al-Shahrour,F. et al. (2005) BABELOMICS: A suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments. Nucleic Acids Res., 33, W460-W464.
3. Al-Shahrour,F. et al. (2006) BABELOMICS: A systems biology perspective in the functional annotation of genome-scale experiments. Nucleic Acids Res., 34, W472-W476.
4. Ambroise,C. and McLachlan,G.J. (2002) Selection bias in gene extraction on the basis of microarray gene-expression data. Proc. Natl Acad. Sci. USA, 99, 6562-6566.
5. Dudoit,S. et al. (2002) Comparison of discrimination methods for the classification of tumors suing gene expression data. J. Am. Stat. Assoc., 97, 77-87.
6. Herrero,J. et al. (2003) GEPAS: A web-based resource for microarray gene expression data analysis. Nucleic Acids Res., 31, 3461-3467.
7. Kohonen,T. (ed.) (1997) Self-organizing Maps. Springer-Verlag, Berlin.
8. Montaner,D. et al. (2006) Next station in microarray data analysis: GEPAS. Nucleic Acids Res., 34, W486-W491.
9. Pochet,N.L. et al. (2005) MΓBETH: A microarray classification benchmarking tool. Bioinformatics, 21, 3185-3186.
10. Romualdi,C. et al. (2003) Pattern recognition in gene expression profiling using DNA array: A comparative study of different statistical methods applied to cancer classification. Hum. Mol. Genet., 12, 823-836.
11. Simon,R. (2005) Roadmap for developing and validating therapeutically relevant genomic classifiers. J. Clin. Oncol., 23, 7332-7341.
12. Simon,R. et al. (2003) Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J. Natl Cancer Inst., 95, 14-18.
13. Tibshirani,R. et al. (2002) Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc. Natl Acad. Sci USA, 99, 6567-6572.
14. van't Veer,L.J. et al. (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415, 530-536.
15. Vapnik,V. (ed.) (1999) Statistical Learning Theory. John Wiley and Sons, New York.
16. Wessels,L.F. et al. (2005) A protocol for building and evaluating predictors of disease state based on microarray data. Bioinformatics, 21, 3755-3762.