RF_exp: Random Forest Feature Selection - Genes expression ->...

In sbenfatto/PARIS: PAn-canceR Inferred Synthetic lethalities (PARIS), a machine learning-based approach to predict cancer vulnerabilities

Description

Random Forest Feature Selection - Genes expression -> Dependent gene

Usage

RF_exp(data, exp, imp.score = c("raw", "Gini", "Ginicorrected"), outdir)

Arguments

data	Dataframe with dependecy scores
exp	Dataframe with expression 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.