normalize_cv: Adjust coefficients of variation to remove mean dependency
In jhsiao999/Humanzee: Tools for statistical analysis of genomics data

Description Usage Arguments Examples

Adjust coefficients of variation (of each group) across genes to account for the confouding effet of per gene average expression levels. CVs are computed on the count scale, and computation of adjusted CV is performed on log10 scale (of CV). The method was developed for Tung et al. (2016) for comparing cell-to-cell heterogeneity between individuals, following Kolodziejczyk et al. (2015) (http://dx.doi.org/10.1016/j.stem.2015.09.011).

Adjust coefficients of variation

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normalize_cv(group_cv, log2counts, anno)

normalize_cv(group_cv, log2counts, anno)

`group_cv`	CVs per batch computed use compute_cv().
`log2counts`	log2 count matrix of gene by cell.
`group_cv`	CVs per batch computed use compute_cv().
`log2counts`	log2 count matrix of gene by cell.