RandomForestSolver: Create a Solver class object using the Random Forest solver

In TReNA: Fit transcriptional regulatory networks using gene expression, priors, machine learning

Description

Create a Solver class object using the Random Forest solver

Usage

RandomForestSolver(mtx.assay = matrix(), quiet = TRUE)

Arguments

mtx.assay	An assay matrix of gene expression data
quiet	A logical denoting whether or not the solver should print output

Value

A Solver class object with Random Forest as the solver

See Also

solve.RandomForest, getAssayData

Other Solver class objects: BayesSpikeSolver, EnsembleSolver, LassoPVSolver, LassoSolver, PearsonSolver, RidgeSolver, Solver-class, SpearmanSolver, SqrtLassoSolver

Examples

solver <- RandomForestSolver()

TReNA documentation built on Nov. 17, 2017, 12:35 p.m.