toplist: Display 'top' variables

Description Usage Arguments Value Author(s) References See Also

Description

This is a convenient method to get quick access to the most important variables, based on the result of call to GeneSelection.

Usage

1
toplist(object, k = 10, iter = 1, show = TRUE, ...)

Arguments

object

An object of genesel.

k

Number of top genes for which information should be displayed. Defaults to 10.

iter

teration number (learningset) for which tuning results should be displayed.

show

Should the results be printed ? Default is TRUE.

...

Currently unused argument.

Value

The type of output depends on the gene selection scheme. For the multiclass case, if gene selection has been run with the "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.

Author(s)

Martin Slawski ms@cs.uni-sb.de

Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de

References

Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439

See Also

genesel, GeneSelection, plot,genesel-method


CMA documentation built on Nov. 8, 2020, 5:02 p.m.