permute_cv_test: Permute cell labels for computing empirical p-values
In jhsiao999/Humanzee: Tools for statistical analysis of genomics data

Description Usage Arguments Examples

Permute individual labels to compute empirical p-value for similarity metrics comparing the observed individual level coefficients of variation (CV). This function was developed for Tung et al. (2006) in comparing adjusted coefficients of variation computed from three subsets of cells, each of which is quantified for a LCL.

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permute_cv_test(log2counts, grouping_vector, anno, number_permute,
  subset_matrix = NULL, output_rda = FALSE, do_parallel = FALSE,
  number_cores = NULL)

`log2counts`	log2counts matrix of gene by cells.
`grouping_vector`	the grouping vector corresponds to variable of interest.
`anno`	Annotation matrix (cell-by-phenotype).
`number_permute`	number of permuted samples.