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Bioinformatics Advance Access published online on May 12, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti495
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received April 18, 2005
Revised May 10, 2005
Accepted May 10, 2005

Applications note

M@CBETH: a microarray classification benchmarking tool

Nathalie L. M. M. Pochet 1*, Frizo A. L. Janssens 1, Frank De Smet 1, Kathleen Marchal 1, Johan A. K. Suykens 1, and Bart L. R. De Moor 1

1 K.U.Leuven, ESAT-SCD, Kasteelpark Arenberg 10, B-3001 Leuven (Heverlee), Belgium

* To whom correspondence should be addressed.
Nathalie L. M. M. Pochet, E-mail: nathalie.pochet{at}esat.kuleuven.ac.be


  Abstract

Summary: 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.

Availability: Web service at http://www.esat.kuleuven.ac.be/MACBETH/.


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