plotInterquantileWidth | R Documentation |
Histograms of the interquantile width of tag clusters or consensus clusters in each CAGE experiment.
plotInterquantileWidth(
object,
clusters = c("tagClusters", "consensusClusters"),
tpmThreshold = 5,
qLow = 0.1,
qUp = 0.9,
xlim = c(0, 150)
)
## S4 method for signature 'CAGEexp'
plotInterquantileWidth(
object,
clusters = c("tagClusters", "consensusClusters"),
tpmThreshold = 5,
qLow = 0.1,
qUp = 0.9,
xlim = c(0, 150)
)
object |
A |
clusters |
|
tpmThreshold |
Exclude clusters with normalized signal lower than |
qLow , qUp |
Quantile defining the 5' ("lower") and 3' ("upper") boundaries of the clusters. |
xlim |
Range of width to be plotted. |
Interquantile width is a more robust measure of the promoter width
than the total span of the region, because it takes into account the
magnitude of the expression in the region. Positions of specified quantiles
within each cluster have to be calculated beforehand by calling
quantilePositions
.
Plots the histograms with the ggplot2
engine and returns the plot
object invisibly.
Vanja Haberle
Charles Plessy
Other CAGEr plot functions:
TSSlogo()
,
hanabiPlot()
,
plotAnnot()
,
plotCorrelation()
,
plotExpressionProfiles()
,
plotReverseCumulatives()
Other CAGEr clusters functions:
CTSScumulativesTagClusters()
,
CustomConsensusClusters()
,
aggregateTagClusters()
,
consensusClustersDESeq2()
,
consensusClustersGR()
,
cumulativeCTSSdistribution()
,
distclu()
,
paraclu()
,
quantilePositions()
,
tagClustersGR()
plotInterquantileWidth( exampleCAGEexp, clusters = "tagClusters"
, tpmThreshold = 50, qLow = 0.1, qUp = 0.9
, xlim = c(2,200))
plotInterquantileWidth( exampleCAGEexp, clusters = "consensusClusters"
, tpmThreshold = 50, qLow = 0.1, qUp = 0.9
, xlim = c(2,200))
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