cal_amp_bias: Simulate technical biases. (This function is borrowed from...

In JINJINT/splattermodify: Simple Simulation of Single-cell RNA Sequencing Data

Description

Simulate technical biases. (This function is borrowed from SymSim).

Usage

cal_amp_bias(lenslope, nbins, gene_len, amp_bias_limit)

Arguments

lenslope	amount of length bias. This value s ould be less than 2*amp_bias_limit[2]/(nbins-1)
nbins	number of bins for gene length
gene_len	transcript length of each gene
amp_bias_limit	range of amplification bias for each gene, a vector of length ngenes

Value

the technical bias

References

Zhang X, Xu C, Yosef N. Simulating multiple faceted variability in single cell RNA sequencing. Nature communications. 2019 Jun 13;10(1):1-6. https://www.nature.com/articles/s41467-019-10500-w

JINJINT/splattermodify documentation built on May 19, 2021, 4:05 p.m.