RF_mut: Random Forest Feature Selection - Mutated genes -> Dependent...
In sbenfatto/PARIS: PAn-canceR Inferred Synthetic lethalities (PARIS), a machine learning-based approach to predict cancer vulnerabilities
Description
Usage
Arguments
Value
View source: R/RF_feature_selection.R
Description
Random Forest Feature Selection - Mutated genes -> Dependent gene
Usage
1
Arguments
data
Dataframe with dependecy scores
mut
Dataframe with mutational data
imp.score
importance score methods; NB raw/Gini for Boruta; Ginicorrected RF
outdir
Directory where to write Models
Value
Write Boruta/Random Forest Feature selection models and selected gene paris in the outdir
sbenfatto/PARIS documentation built on March 21, 2021, 4:39 a.m.
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Description Usage Arguments Value
View source: R/RF_feature_selection.R
Description
Random Forest Feature Selection - Mutated genes -> Dependent gene
Usage
1 |
Arguments
data |
Dataframe with dependecy scores |
mut |
Dataframe with mutational data |
imp.score |
importance score methods; NB raw/Gini for Boruta; Ginicorrected RF |
outdir |
Directory where to write Models |
Value
Write Boruta/Random Forest Feature selection models and selected gene paris in the outdir
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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