log2se | R Documentation |
Calculate the log2 transformed ratios for nucleolus vs genome. pseudo-count will be used to avoid x/0 or log(0).
log2se(
se,
nucleolusCols,
genomeCols,
pseudocount = 1L,
transformation = c("log2OddsRatio", "log2CPMRatio", "log2Ratio"),
chrom.level.lib = TRUE
)
se |
A RangedSummarizedExperiment object. The output of tileCount. |
nucleolusCols , genomeCols |
column Names of counts for nucleolus and genome. They should be the column names in the assays of se. Ratios will be calculated as log2(transformed nucleolusCols/transformed genomeCols). |
pseudocount |
default to 1, pseudo-count used to aviod x/0 or log(0). |
transformation |
transformation type |
chrom.level.lib |
indicating whether calculating CPM or odds using sequence depth of the whole genome or the corresponding chromosome |
A RangedSummarizedExperiment object with log2 transformed ratios. Assays will be named as nucleolus, genome and ratio.
Jianhong Ou and Julie Zhu
library(SummarizedExperiment)
se <- SummarizedExperiment(assays=list(counts=DataFrame(A=seq_len(3),
B=rep(1, 3), C=rep(4, 3), D=rep(2, 3))),
rowRanges=GRanges(c("chr1","chr1", "chr2"),
IRanges(c(1, 10, 20),
width=9)))
metadata(se)$lib.size.chrom <- data.frame( c(1000, 1000), c(2000, 2000), c(200,200), c(300,300))
colnames(metadata(se)$lib.size.chrom) <- c("A", "B", "C", "D")
rownames(metadata(se)$lib.size.chrom) <- c("chr1", "chr2")
log2se(se, nucleolusCols = c("A", "C"), genomeCols = c("B", "D"), transformation = "log2Ratio")
log2se(se, nucleolusCols = c("A", "C"), genomeCols = c("B", "D"), transformation = "log2CPMRatio")
log2se(se, nucleolusCols = c("A", "C"), genomeCols = c("B", "D"),
transformation = "log2OddsRatio")
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