View source: R/DownstreamAnalysisFunctions.R
plotMultiLevelLabels | R Documentation |
plotMultiLevelLabels()
Plots labels across heirarchy for bulk data by mapping them via
the calculated information matrix
plotMultiLevelLabels(cellWalk, labelScores, z = 2, whichBulk)
cellWalk |
a cellWalk object |
labelScores |
a matrix of label scores, output of labelBulk with allScores set to TRUE |
z |
numeric z-score threshold for significance |
whichBulk, |
numeric optionally identify which bulk peak to plot |
plot object p of either counts of signifcant labels or enrichment/depletion for single peak
data("SampleCellWalkRData")
cellWalk <- clusterLabels(SampleCellWalkRData$cellWalk)
## Not run: p <- plotMultiLevelLabels(cellWalk,SampleCellWalkRData$labelScores)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.