Title: M@CBETH: a microarray classification benchmarking tool
Authors: Pochet, Nathalie ×
Janssens, Frizo
De Smet, Frank
Marchal, Kathleen
Suykens, Johan
De Moor, Bart #
Issue Date: Jul-2005
Publisher: Oxford University Press
Series Title: Bioinformatics vol:21 issue:14 pages:3185-3186
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 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.
ISSN: 1367-4803
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
Electrical Engineering - miscellaneous
Centre of Microbial and Plant Genetics
Environment and Health - miscellaneous
× corresponding author
# (joint) last author

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