degVar: Distribution of pvalues by standard desviation range
In DEGreport: Report of DEG analysis
Description
Usage
Arguments
Value
Examples
Description
This function pot the p-valyes distribution colored by
the quantiles of the standard desviation of count data.
Usage
1
degVar(pvalues, counts)
Arguments
pvalues
pvalues of DEG analysis
counts
Matrix with counts for each samples and each gene.
row number should be the same length than pvalues vector.
Value
ggplot2 object
Examples
1
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8
data(humanGender)
library(DESeq2)
idx <- c(1:10, 75:85)
dds <- DESeqDataSetFromMatrix(assays(humanGender)[[1]][1:1000, idx],
colData(humanGender)[idx,], design=~group)
dds <- DESeq(dds)
res <- results(dds)
degVar(res[, 4], counts(dds))
DEGreport documentation built on Nov. 8, 2020, 7:23 p.m.
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Description Usage Arguments Value Examples
Description
This function pot the p-valyes distribution colored by the quantiles of the standard desviation of count data.
Usage
1 | degVar(pvalues, counts)
|
Arguments
pvalues |
pvalues of DEG analysis |
counts |
Matrix with counts for each samples and each gene. row number should be the same length than pvalues vector. |
Value
ggplot2 object
Examples
1 2 3 4 5 6 7 8 | data(humanGender)
library(DESeq2)
idx <- c(1:10, 75:85)
dds <- DESeqDataSetFromMatrix(assays(humanGender)[[1]][1:1000, idx],
colData(humanGender)[idx,], design=~group)
dds <- DESeq(dds)
res <- results(dds)
degVar(res[, 4], counts(dds))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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