degVB: Distribution of the standard desviation of DE genes compared...
In DEGreport: Report of DEG analysis
Description
Usage
Arguments
Value
Examples
Description
Distribution of the standard desviation of
DE genes compared to the background
Usage
1
Arguments
tags
List of genes that are DE.
group
Character vector with group name for each sample in the
same order than counts column names.
counts
matrix with counts for each samples and each gene.
Should be same length than pvalues vector.
pop
Number of random samples taken for background comparison.
Value
ggplot2 object
Examples
1
2
3
4
5
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8
9
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)
degVB(row.names(res)[1:20], colData(dds)[["group"]],
counts(dds, normalized = TRUE))
DEGreport documentation built on Nov. 8, 2020, 7:23 p.m.
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Description Usage Arguments Value Examples
Description
Distribution of the standard desviation of DE genes compared to the background
Usage
1 |
Arguments
tags |
List of genes that are DE. |
group |
Character vector with group name for each sample in the same order than counts column names. |
counts |
matrix with counts for each samples and each gene. Should be same length than pvalues vector. |
pop |
Number of random samples taken for background comparison. |
Value
ggplot2 object
Examples
1 2 3 4 5 6 7 8 9 | 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)
degVB(row.names(res)[1:20], colData(dds)[["group"]],
counts(dds, normalized = TRUE))
|
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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