feasibilityAnalysis: Simulating dataset and calculate stabilities over different...

In BioSok/omada: Machine learning tools for automated transcriptome clustering analysis

Simulating dataset and calculate stabilities over different number of clusters

Description

Simulating dataset and calculate stabilities over different number of clusters

Usage

feasibilityAnalysis(classes = 3, samples = 320, features = 400)

Arguments

classes	The number of classes of samples to be reflected in the simulated dataset. Also determines the ks to be considered (classes-2, classes+2)
samples	The number of samples in the simulated dataset
features	The number of features in the simulated dataset

Value

An object of class "feasibilityAnalysis" containing the average stabilities for all number of clusters(k), the average (over all k) and maximum stabilities observed and the generated dataset

Examples

feasibilityAnalysis(classes = 2, samples = 20, features = 30)

BioSok/omada documentation built on Aug. 21, 2023, 2:38 p.m.