BayesSpikeSolver: Create a Solver class object using the Bayes Spike Solver

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

Description

Create a Solver class object using the Bayes Spike Solver

Usage

BayesSpikeSolver(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 Bayes Spike as the solver

See Also

solve.BayesSpike, getAssayData

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

Examples

solver <- BayesSpikeSolver()

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