CLA: Complete Linear Aggregation
In OmicsMarkeR: Classification and Feature Selection for 'Omics' Datasets
Description
Usage
Arguments
Value
Author(s)
References
See Also
Description
Compiles matrix of ranked features via complete
linear aggregation
Usage
1
CLA(efs, f)
Arguments
efs
A matrix of selected features
f
The number of features desired. If rank correlation
desired, f = NULL
Value
agg
Aggregated list of features
Author(s)
Charles Determan Jr
References
Abeel T., Helleputte T., Van de Peer Y., Dupont P., Saeys Y.
(2010) Robust biomarker identification for cancer diagnosis with
ensemble feature selection methods. Bioinformatics 26:3 392-398.
See Also
OmicsMarkeR documentation built on April 28, 2020, 6:54 p.m.
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Description Usage Arguments Value Author(s) References See Also
Description
Compiles matrix of ranked features via complete linear aggregation
Usage
1 | CLA(efs, f)
|
Arguments
efs |
A matrix of selected features |
f |
The number of features desired. If rank correlation desired, f = NULL |
Value
agg |
Aggregated list of features |
Author(s)
Charles Determan Jr
References
Abeel T., Helleputte T., Van de Peer Y., Dupont P., Saeys Y. (2010) Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics 26:3 392-398.
See Also
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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