M@CBETH: A microarray classification benchmarking tool

Bioinformatics

Volumn 21, Issue 14, 2005, Pages 3185-3186

  Pochet, Nathalie L M M ^a   Janssens, Frizo A L ^a   De Smet, Frank ^a   Marchal, Kathleen ^a   Suykens, Johan A K ^a   De Moor, Bart L R ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLASSIFICATION; COMPUTER PROGRAM; DATA ANALYSIS; DECISION SUPPORT SYSTEM; INTERNET; ONCOLOGY; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROTEIN MICROARRAY; QUALITY CONTROL; RANDOMIZATION; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER INTERFACE; DNA MICROARRAY; GENE EXPRESSION PROFILING; METHODOLOGY; STANDARD;

ALGORITHMS; BENCHMARKING; GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 25144433888     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti495     Document Type: Article

References (9)

1. Cristianini,N. and Shawe-Taylor,J. (2000) An Introduction to Support Vector Machines (and other Kernel-Based Learning Methods). Cambridge University Press, Cambridge.
2. De Smet,F., Pochet,N., Engelen,K., Van Gorp,T., Van Hummelen,P., Suykens,J., Marchal,K., Amant,F., Moreau,Y., Timmerman,D., De Moor,B. and Vergote,I. (2005) Predicting the clinical behavior of ovarian cancer from gene expression profiles. Accepted for publication in International Journal of Gynecological cancer.
3. Furey,T.S. et al. (2000) Support vector machines classification and validation of cancer tissue samples using microarray expression data. Bioinformatics, 16, 906-914.
4. Pavlidis,P. et al. (2004) Support vector machine classification on the web. Bioinformatics, 20, 586-587.
5. Pochet,N. et al. (2004) Systematic benchmarking of microarray data classification: Assessing the role of nonlinearity and dimensionality reduction. Bioinformatics, 20, 3185-3195.
6. Schölkopf,B. et al. (1998) Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput., 10, 1299-1319.
7. Suykens,J.A.K., Van Gestel,T., De Brabanter,J., De Moor,B. and Vandewalle,J. (2002) Least Squares Support Vector Machines. World Scientific, Singapore, ISBN 981-238-151-1.
8. Valk,P.J.M. et al. (2004) Prognostically useful gene-expression profiles in acute myeloid leukemia. N. Eng. J. Med., 350, 1617-1628.
9. van't Veer,L.J. et al. (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415, 530-536.