queryCpDistLs: queryCpDistLs

In noriakis/CBNplotTest: plot bayesian network inferred from gene expression data based on enrichment analysis results

queryCpDistLs

Description

produce a plot of bnlearn::cpdist by performing bnlearn::cpdist on specified node, evidence and level.

Usage

queryCpDistLs(fitted, candidate, evidences, discPalette = "Set2", ...)

Arguments

fitted	bn.fit object
candidate	name of node
evidences	the evidences
discPalette	palette to be used for plotting if the event is discrete
...	other parameters passed to bnlearn cpdist

Value

list of dataframe containing raw values

Examples

library(bnlearn)
data("exampleEaRes")
data("exampleGeneExp")
net <- bngeneplot(exampleEaRes, exampleGeneExp,
                  pathNum=1, returnNet=TRUE)
fitted <- bn.fit(net$av, net$df)
res <- queryCpDistLs(fitted, candidate="ERCC4",
              evidences=c("ERCC2<0.1","ERCC2>0.5","ERCC2>0.8"), n=500)

noriakis/CBNplotTest documentation built on Nov. 18, 2022, 8:05 a.m.