GeneSelection.toplist(object, k = 10, iter = 1, show = TRUE, ...)genesel.learningset) for which tuning
results should be displayed.TRUE."pairwise" or "one-vs-all" scheme, then the
output will be a list of data.frames, each containing
the gene indices plus variable importance for the top k
genes. The list elements are named according to the binary
scenarios (e.g., 1 vs. 3).
Otherwise, a single data.frame is returned.
Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439
genesel, GeneSelection, plot,genesel-method