get_outl_cells: Find cell outliers in each cluster.

In SC3: Single-Cell Consensus Clustering

Description

Outlier cells in each cluster are detected using robust distances, calculated using the minimum covariance determinant (MCD), namely using covMcd. The outlier score shows how different a cell is from all other cells in the cluster and it is defined as the differences between the square root of the robust distance and the square root of the 99.99

Usage

get_outl_cells(dataset, labels)

Arguments

dataset	expression matrix
labels	cell labels corresponding to the columns of the expression matrix

Value

a numeric vector containing the cell labels and correspoding outlier scores ordered by the labels

Examples

d <- get_outl_cells(yan[1:10,], as.numeric(ann[,1]))
head(d)

SC3 documentation built on Nov. 8, 2020, 7:52 p.m.