Voom is an R function that transforms the input count data into log2-counts per million, estimates the mean-variance relationship and uses this information to compute observational level weights to prepare data for linear modeling in limma.

voom(counts, design = NULL, lib.size = NULL, normalize.method = "none", span = 0.5, plot = FALSE, save.plot = FALSE, ...)


Law, CW, Chen, Y, Shi, W, Smyth, GK (2014). Voom: precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biology 15, R29.http://genomebiology.com/2014/15/2/R29

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