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 non-straightforward 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.#R##N##R##N#Availability: Web service at http://www.esat.kuleuven.be/MACBETH/#R##N##R##N#Contact: Nathalie.Pochet@esat.kuleuven.be
['Nathalie Pochet', 'Frizo Janssens', 'Frank De Smet', 'Kathleen Marchal', 'Johan A. K. Suykens', 'Bart De Moor']
M@CBETH: a microarray classification benchmarking tool