M@CBETH: a microarray classification benchmarking tool. 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.

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  1. Oneto, Luca; Ghio, Alessandro; Anguita, Davide; Ridella, Sandro: An improved analysis of the Rademacher data-dependent bound using its self bounding property (2013)
  2. Guarracino, M. R.; Cuciniello, S.; Pardalos, P. M.: Classification and characterization of gene expression data with generalized eigenvalues (2009)
  3. Diaz-Uriarte, Ramón: Genesrf and varselrf: a web-based tool and R package for gene selection and classification using random forest (2007) ioport