findOutliers: findOutliers

In kdkorthauer/scDD: Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

findOutliers

Description

Find the clusters that are considered outliers

Usage

findOutliers(clustering, min.size = 3)

Arguments

clustering	Numeric vector of cluster membership (1st item (named class) in list returned by mclustRestricted)
min.size	Numeric value for the minimum number of samples a cluster must have to be considered in the robust count. Default is 3.

Details

Function to obtain a count of the number of clusters that is robust to outliers. Requires at least min.size samples to be considered in the robust count.

Value

The robust count of the number of unique clusters excluding those with less than min.size samples.

References

Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome Biology. 2016 Oct 25;17(1):222. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y

kdkorthauer/scDD documentation built on March 27, 2022, 5:11 a.m.