consensusClustersGR | R Documentation |
Extracts the information on consensus clusters from a CAGEr
object.
consensusClustersGR(
object,
sample = NULL,
returnInterquantileWidth = FALSE,
qLow = NULL,
qUp = NULL
)
## S4 method for signature 'CAGEexp'
consensusClustersGR(
object,
sample = NULL,
returnInterquantileWidth = FALSE,
qLow = NULL,
qUp = NULL
)
consensusClustersSE(object)
## S4 method for signature 'CAGEexp'
consensusClustersSE(object)
object |
A |
sample |
Optional. Label of the CAGE dataset (experiment, sample) for
which to extract sample-specific information on consensus clusters.
When no sample is specified (NULL), sample-agnostic information
on consensus clusters is provided. This includes the |
returnInterquantileWidth |
Should the interquantile width of consensus
clusters be returned? When |
qLow, qUp |
Position of which quantile should be used as a left (lower)
or right (upper) boundary when calculating interquantile width. Used
only when |
consensusClustersGR
returns a ConsensusClusters
object, which
wraps the GRanges
class. The score
columns indicates the
normalised expression value of each cluster, either across all samples
(sample = NULL
), or for the selected sample. The legacy tpm
column may
be removed in the future. When sample
argument is
NOT specified, total CAGE signal across all CAGE datasets (samples) is
returned in the tpm
column. When sample
argument is specified, the tpm
column contains CAGE signal of consensus clusters in that specific sample.
When returnInterquantileWidth = TRUE
, additional sample-specific information
is returned, including position of the dominant TSS, and interquantile width
of the consensus clusters in the specified sample or otherwise,
sample-agnostic information is returned.
consensusClustersSE
returns the SummarizedExperiment
stored
in the consensusClusters
experiment slot of the CAGEexp object.
Vanja Haberle
Charles Plessy
consensusClusters<-()
Other CAGEr accessor methods:
CTSSclusteringMethod()
,
CTSScoordinatesGR()
,
CTSScumulativesTagClusters()
,
CTSSnormalizedTpmDF()
,
CTSStagCountDF()
,
GeneExpDESeq2()
,
GeneExpSE()
,
expressionClasses()
,
genomeName()
,
inputFilesType()
,
inputFiles()
,
librarySizes()
,
sampleLabels()
,
seqNameTotalsSE()
,
tagClustersGR()
Other CAGEr clusters functions:
CTSSclusteringMethod()
,
CTSScumulativesTagClusters()
,
CustomConsensusClusters()
,
aggregateTagClusters()
,
clusterCTSS()
,
consensusClustersDESeq2()
,
cumulativeCTSSdistribution()
,
plotInterquantileWidth()
,
quantilePositions()
,
tagClustersGR()
consensusClustersGR( exampleCAGEexp, sample = 2
, returnInterquantileWidth = TRUE
, qLow = 0.1, qUp = 0.9)
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