normalize_cv: Adjust coefficients of variation to remove mean dependency

Description Usage Arguments Examples

Description

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

Usage

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normalize_cv(group_cv, log2counts, anno)

normalize_cv(group_cv, log2counts, anno)

Arguments

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.

Examples

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jhsiao999/Humanzee documentation built on May 19, 2019, 9:28 a.m.