featureSelection: Predictor variable subsampling sets and bootstrapping...
In BioSok/omada: Machine learning tools for automated transcriptome clustering analysis
View source: R/feature_selection.R
featureSelection R Documentation
Predictor variable subsampling sets and bootstrapping stability set selection
Description
Predictor variable subsampling sets and bootstrapping stability set selection
Usage
featureSelection(data, min.k = 2, max.k = 4, step = 5)
Arguments
data
A dataframe, where columns are features and rows are data points
min.k
Minimum number of clusters for which we calculate stabilities
max.k
Maximum number of clusters for which we calculate stabilities
step
The number for additional features each feature set will contain
Value
An object of class "featureSelection" containing the dataframe of
average bootstrap stabilities, where rows represent feature sets and columns
number of clusters, the corresponding line plot, the number and the names of
the selected features
Examples
featureSelection(toy_genes, min.k = 2, max.k = 4, step = 10)
BioSok/omada documentation built on Aug. 21, 2023, 2:38 p.m.
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View source: R/feature_selection.R
| featureSelection | R Documentation |
Predictor variable subsampling sets and bootstrapping stability set selection
Description
Predictor variable subsampling sets and bootstrapping stability set selection
Usage
featureSelection(data, min.k = 2, max.k = 4, step = 5)
Arguments
data |
A dataframe, where columns are features and rows are data points |
min.k |
Minimum number of clusters for which we calculate stabilities |
max.k |
Maximum number of clusters for which we calculate stabilities |
step |
The number for additional features each feature set will contain |
Value
An object of class "featureSelection" containing the dataframe of average bootstrap stabilities, where rows represent feature sets and columns number of clusters, the corresponding line plot, the number and the names of the selected features
Examples
featureSelection(toy_genes, min.k = 2, max.k = 4, step = 10)
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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