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M@CBETH: a microarray classification benchmarking tool.

Nathalie L M M Pochet·Frizo A L Janssens·Frank De Smet·Kathleen Marchal·Johan A K Suykens·Bart L R De Moor
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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.

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AlgorithmsBenchmarkingGene Expression ProfilingOligonucleotide Array Sequence AnalysisPattern Recognition, AutomatedSoftwareUser-Computer InterfaceJournal ArticleResearch Support, Non-U.S. Gov't

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Nathalie L M M Pochet, Frizo A L Janssens, Frank De Smet, Kathleen Marchal, Johan A K Suykens, Bart L R De Moor. 2005-05-12. M@CBETH: a microarray classification benchmarking tool.. https://doi.org/10.1093/bioinformatics%2Fbti495

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