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