sample_seq_depth: Update matrix D with manually selected missing rate

In davismcc/cardelino: Clone Identification from Single Cell Data

Update matrix D with manually selected missing rate

Description

Given missing rate, the NA will be generated first. For none NA element, sequencing depth with uniformly sampled from D, row wisely. Namely, the depth is variant specific.

Usage

sample_seq_depth(D, n_cells = NULL, n_sites = NULL, missing_rate = NULL)

Arguments

D	A matrix (N variants x M cells), the original sequencing coverage, NA means missing
n_cells	A integer, the number of the cells to generate
n_sites	A integer, the number of variants to generate
missing_rate	A float value, if NULL, use the same missing rate as D

Value

a n_sites by n_cells matrix sampled from input D.

Examples

data(simulation_input)
D1 <- sample_seq_depth(D_input,
    n_cells = 500, n_sites = 50,
    missing_rate = 0.85
)

davismcc/cardelino documentation built on Nov. 19, 2022, 2:44 a.m.