LassoPVSolver.RdCreate a Solver class object using the LASSO P-Value solver
LassoPVSolver( mtx.assay = matrix(), targetGene, candidateRegulators, quiet = TRUE )
| mtx.assay | An assay matrix of gene expression data |
|---|---|
| targetGene | A designated target gene that should be part of the mtx.assay data |
| candidateRegulators | The designated set of transcription factors that could be associated with the target gene |
| quiet | A logical denoting whether or not the solver should print output |
A Solver class object with LASSO P-Value as the solver
Other Solver class objects:
BayesSpikeSolver,
EnsembleSolver,
HumanDHSFilter-class,
LassoSolver,
PearsonSolver,
RandomForestSolver,
RidgeSolver,
Solver-class,
SpearmanSolver,
SqrtLassoSolver,
XGBoostSolver
load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData")) target.gene <- "MEF2C" tfs <- setdiff(rownames(mtx.sub), target.gene) lassopv.solver <- LassoPVSolver(mtx.sub, target.gene, tfs)