Create a Solver class object using Spearman correlation coefficients as the solver

SpearmanSolver(
  mtx.assay = matrix(),
  targetGene,
  candidateRegulators,
  quiet = TRUE
)

Arguments

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

Value

A Solver class object with Spearman correlation coefficients as the solver

See also

Examples

load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData")) target.gene <- "MEF2C" tfs <- setdiff(rownames(mtx.sub), target.gene) spearman.solver <- SpearmanSolver(mtx.sub, target.gene, tfs)