Description Usage Arguments Value References Examples
View source: R/cumulativePercentage.R
Plot the difference between the cumulative percentage of tag allocation in paired samples.
1 2 3 4 5 6 | cumulativePercentage(
se,
binWidth = 1e+05,
backgroundCorrectedAssay = "bcRatio",
...
)
|
se |
An object of RangedSummarizedExperiment with assays of raw counts, transfomred ratios, background correct ratios, smoothed ratios and z-scores. It should be an element of the output of smoothRatiosByChromosome. |
binWidth |
numeric(1) or integer(1). The width of each bin. |
backgroundCorrectedAssay |
character(1). Assays names for background correction ratios. |
... |
Parameter not used. |
A list of data.frame with the cumulative percentages.
Normalization, bias correction, and peak calling for ChIP-seq Aaron Diaz, Kiyoub Park, Daniel A. Lim, Jun S. Song Stat Appl Genet Mol Biol. Author manuscript; available in PMC 2012 May 3.Published in final edited form as: Stat Appl Genet Mol Biol. 2012 Mar 31; 11(3): 10.1515/1544-6115.1750 /j/sagmb.2012.11.issue-3/1544-6115.1750/1544-6115.1750.xml. Published online 2012 Mar 31. doi: 10.1515/1544-6115.1750 PMCID: PMC3342857
1 2 3 4 5 6 7 8 9 10 11 12 | library(SummarizedExperiment)
data(triplicate.count)
se <- triplicate.count
se <- log2se(se, transformation = "log2CPMRatio",
nucleolusCols = c("N18.subsampled.srt-2.bam",
"N18.subsampled.srt-3.bam",
"N18.subsampled.srt.bam"),
genomeCols = c("G18.subsampled.srt-2.bam",
"G18.subsampled.srt-3.bam",
"G18.subsampled.srt.bam"))
se <- smoothRatiosByChromosome(se, chr="chr18")
cumulativePercentage(se[["chr18"]])
|
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