title: M@CBETH: a microarray classification benchmarking tool.
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.
authors.affiliation: K. U. Leuven, ESAT-SCD, Kasteelpark Arenberg 10 B-3001 Leuven (Heverlee), Belgium. Nathalie.Pochet@esat.kuleuven.be
authors.forename: Nathalie L M M
authors.initials: NL
authors.lastname: Pochet
authors.forename: Frizo A L
authors.initials: FA
authors.lastname: Janssens
authors.forename: Frank
authors.initials: F
authors.lastname: De Smet
authors.forename: Kathleen
authors.initials: K
authors.lastname: Marchal
authors.forename: Johan A K
authors.initials: JA
authors.lastname: Suykens
authors.forename: Bart L R
authors.initials: BL
authors.lastname: De Moor
mesh_terms: D000465:Algorithms; D019985:Benchmarking / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods* / Q000592:standards; D010363:Pattern Recognition, Automated / Q000379:methods*; D012984:Software; D014584:User-Computer Interface