toplist: Display 'top' variables
In chbernau/CMA: Synthesis of microarray-based classification
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
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
chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.
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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 |
Arguments
object |
An object of |
k |
Number of top genes for which information should be displayed. Defaults to 10. |
iter |
teration number ( |
show |
Should the results be printed ? Default is |
... |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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