degMV | R Documentation |
Correlation of the standard desviation and the mean of the abundance of a set of genes.
degMV(group, pvalues, counts, sign = 0.01)
group |
Character vector with group name for each sample in the same order than counts column names. |
pvalues |
pvalues of DEG analysis. |
counts |
Matrix with counts for each samples and each gene. |
sign |
Defining the cutoff to label significant features. row number should be the same length than pvalues vector. |
ggplot2 object
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)
degMV(colData(dds)[["group"]],
res[, 4],
counts(dds, normalized = TRUE))
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