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M@CBETH

MicroArray Classification BEnchmarking Tool on a Host server

People: Nathalie Pochet, Frizo Janssens, Frank De Smet, Kathleen Marchal, Johan Suykens, Bart De Moor

Abstract:

Microarray classification can be useful to support clinical management decisions for individual patients in for example oncology. However, comparing classifiers and selecting the best for each microarray dataset can be a tedious and nonstraightforward task. The M@CBETH (a MicroArray Classification BEnchmarking Tool on a Host server) web service offers the microarray community a simple tool for making optimal two-class predictions. M@CBETH aims at finding the best prediction among different classification methods by using randomizations of the benchmarking dataset. The M@CBETH web service intends to introduce an optimal use of clinical microarray data classification.

The M@CBETH web service is available at http://www.esat.kuleuven.be/MACBETH/.

References:

03-176: Pochet N., De Smet F., Suykens J., De Moor B., ``Systematic benchmarking of micorarray data classification : assessing the role of nonlinearity and dimensionality reduction'', Bioinformatics, Nov 2004; 20: 3185 - 3195.
04-195: Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., ``M@CBETH: a microarray classification benchmarking tool'', Bioinformatics, Jul 2005; 21: 3185 - 3186.
05-02: Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., ``M@CBETH Tutorial - a MicroArray Classification BEnchmarking Tool on a Host server'', Internal Report 05-02, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2005.