This function computes size factors for each sample in the dataset and expands them to a matrix of the size of the dataset. Size factors scale the negative binomial likelihood model of a gene to the sequencing depth of each sample. Note that size factors on bulk and single-cell data are computed differently: Median ratio of data to geometric mean for bul data and normalised relative sequencing depth for single-cell data.
(matrix genes x samples) Read count data.
vecSizeFactors (numeric vector number of samples) Model scaling factors for each sample which take sequencing depth into account (size factors).
David Sebastian Fischer
Called by computeNormConst.
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