findOutliers {scDD} | R Documentation

## 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

[Package scDD version 1.18.0 Index]