OutlierDetED: Outlier Detection

In renjun0324/KKLClustering: Large-scale single-cell clustering algorithm based on optimal KNN graph structure

Outlier Detection

Description

This function is used to detect outliers of any matrix.

Usage

OutlierDetED(m, q = 0.2, min_n = 5)

Arguments

m	matrix, row is cells
q	the proportion of outliers you want to filter
min_n	the minimum number of data points for outlier detection.
cores	the number of threads

Value

Character vector of outlier label

renjun0324/KKLClustering documentation built on Oct. 8, 2024, 7:39 p.m.