View source: R/getCorrelations.R
getCorrelations | R Documentation |
Get correlations and p-values between biological replicates based on coverage signal for peak regions. The signals will be filtered by the background cutoff value before calculated correlations. This function also output a correlation plots using the corrplot.
getCorrelations(
se,
chr = paste0("chr", seq_len(19)),
ratioAssay = "ratio",
window = 10000L,
cutoff = 1,
method = c("spearman", "pearson", "kendall"),
file_name = "Correlation plots.pdf",
...
)
se |
A RangedSummarizedExperiment object. The output from log2se. |
chr |
A vector of character. Filter for seqnames. It should be the chromosome names to be kept. |
ratioAssay |
character(1). Column name of ratio for correlation calculation. |
window |
numeric(1) or integer(1). The window size for summary of the ratios. |
cutoff |
numeric(1). All the coverage signals lower than cutoff value in a given window will be filtered out. |
method |
character(1) indicating which correlation coefficient is to be computed. See cor. |
file_name |
A file name for output correlation plots |
... |
Parameters not used. |
A list of matrixes of correlation coefficients and p-values.
Jianhong Ou, Haibo Liu
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"))
getCorrelations(se, chr="chr18")
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