Description Usage Arguments Details Value See Also Examples
Given segments, make an RleDataFrame of Rle objects for each sample
1 | segs2RleDataFrame(seg.list, locs)
|
seg.list |
list, list of data frames, one per sample, each is result from CBS |
locs |
rowRanges from a GenoSet object |
Take table of segments from CBS, convert DataFrame of Rle objects for each sample.
RleDataFrame with nrows same as locs and one column for each sample
Other 'segmented data': bounds2Rle
,
rangeSegMeanLength
, runCBS
,
segPairTable
, segTable
,
segs2Granges
, segs2Rle
1 2 3 | data(genoset,package='genoset')
seg.list = runCBS( genoset.ds[, , 'lrr'], rowRanges(genoset.ds), return.segs=TRUE )
segs2RleDataFrame( seg.list, rowRanges(genoset.ds) ) # Loop segs2Rle on list of data.frames in seg.list
|
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