degMV {DEGreport} | 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))