bootstrap_cells: Bootstrap cell labels for computing confidence intervals

In jhsiao999/Humanzee: Tools for statistical analysis of genomics data

Description

Bootstrap observations (e.g., cells) at each level of the grouping variable (e.g., individual) to compute confidence interval for a statistic that has only 1 measurement per individual. 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.

Usage

bootstrap_cells(log2counts, grouping_vector, number_bootstrap,
  size_bootstrap = NULL)

Arguments

log2counts	log2counts matrix of gene by cells
grouping_vector	the grouping vector corresponds to variable of interest
num_bootstrap	number of bootstrap samples

Examples

bootstrap_cells()

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