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.
Pochet
Nathalie L M M
NL
K. U. Leuven, ESAT-SCD, Kasteelpark Arenberg 10 B-3001 Leuven (Heverlee), Belgium. Nathalie.Pochet@esat.kuleuven.be
Janssens
Frizo A L
FA
De Smet
Frank
F
Marchal
Kathleen
K
Suykens
Johan A K
JA
De Moor
Bart L R
BL
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