separability: Separability of Labeled Data Points

In TreeDimensionTest: Trajectory Presence and Heterogeneity in Multivariate Data

Separability of Labeled Data Points

Description

Computes homogeneity of labeled observations with multiple label types.

Usage

separability(x, labels)

Arguments

x	input data matrix, with rows as observations and columns as features
labels	a vector of labels for the observations. A label could be a type of the observation e.g cell type in single-cell data

Value

A list with the following components:

• label_separability A vector of separability scores for each of the label types. A high score denotes high separability

• overall_separability Overall average separability score for all the labels

TreeDimensionTest documentation built on March 18, 2022, 7:45 p.m.