Description Details Fields Methods Author(s)
Encapsulate data for genomic features
The object
field is constrained to be SummarizedExperiment
. Data is obtained from columns of
a determined assay
. Measurement names are checked against the row names of the colData
slot. The rowData
is assumed
to be a GIntervalTree
object, its mcols
must contain columns PROBEID
and SYMBOL
.
assay
:(integer or character) indicating assay from which data is obtained
.checkColumns(columns)
: Checks columns
are a subset of names(colData(object))
.
.getColumns()
: Returns names(colData(object))
.
plot()
: Calls the scatterPlot
method of EpivizDeviceMgr-class
with the first measurements in columns
as x
and y
.
getMeasurements()
: Returns named character vector. Entries are of format '<name>$<column>'. Vector names are of format
'<id>__<column>'.
parseMeasurement(msId)
: Parses measurement of format '<id>__<column>'.
packageData(msId)
: Get data for msId
for rows overlapping curQuery
. Returns a list with components: min
: min value for data range, max
: max value for data range, data
: list with slots: gene
: from SYMBOL
column of mcols(rowData(object))
, start
: feature start position, end
: feature end position, probe
: from PROBEID
column of mcols(rowData(object))
, value
: numeric data value.
Hector Corrada Bravo
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