select_hash_cutoff: Select a cutoff for hash counts using automatic, k-means...

In AllenInstitute/BarMixer: Hashed scRNA-seq demultiplexing for .h5 files

Description

Select a cutoff for hash counts using automatic, k-means based splitting

Usage

select_hash_cutoff(
  x,
  use_median_cut = FALSE,
  min_cut = 10,
  min_fc = 2,
  seed = 3030
)

Arguments

x	a numeric vector of hash count values
use_median_cut	a logical value indicating whether or not to use the median value of x to set a minimum threshold. Default is FALSE.
min_cut	a numeric value for the minimum number of counts to consider. Default is 10.
min_fc	a numeric value for the minimum expected fold change between the centers of the two clusters (positive and negative). Default is 2.
seed	a value to use as a random seed for k-means clustering. Default is 3030.

Value

a numeric value to use as a cutoff. If no values are above min_cut, returns max(x), otherwise returns max(x) for non-passing values.

AllenInstitute/BarMixer documentation built on Dec. 17, 2021, 8:42 a.m.