Plot the expression of the genes against parameter values to understand the effect of parameters on the gene expressions.

sracipePlotParamBifur(
  .object,
  paramName,
  data = NULL,
  paramValue = NULL,
  assignedClusters = NULL,
  plotToFile = FALSE
)

# S4 method for RacipeSE
sracipePlotParamBifur(
  .object,
  paramName,
  data = NULL,
  paramValue = NULL,
  assignedClusters = NULL,
  plotToFile = FALSE
)

Arguments

.object

RacipeSE object generated by sracipeSimulate function.

paramName

character. The name of the parameter to be plotted.

data

(optional) dataframe. Default rSet geneExpression. The data to be plotted. For example, use rSet$stochasticSimulations$[noise] to plot the stochastic data.

paramValue

(optional) Dataframe. The parameter values if rSet$params is not to be used.

assignedClusters

(optional) Dataframe. The cluster assignment of data.

plotToFile

(optional) logical. Default FALSE. Whether to save plots to a file.

Value

none

Examples

data("demoCircuit") if (FALSE) { rSet <- sRACIPE::sracipeSimulate(circuit = demoCircuit, numModels = 100, plots=FALSE, plotToFile = FALSE) rSet <- sRACIPE::sracipeNormalize(rSet) sracipePlotParamBifur(rSet, "G_A") }