clustInference-omics_array-numeric-method: A function to explore a dataset and cluster its rows.

In Patterns: Deciphering Biological Networks with Patterned Heterogeneous Measurements

A function to explore a dataset and cluster its rows.

Description

Based on soft clustering performed by the Mfuzz package.

Usage

## S4 method for signature 'omics_array,numeric'
clustInference(omicsarray, vote.index, new.window = FALSE)

Arguments

omicsarray	A omicsarray to cluster
vote.index	Option for cluster attribution
new.window	Boolean. New X11 window for plots. Defaults to FALSE.

Value

A list of two elements:

res.matrix	A data.frame of nrows(omicsarray) observations of 3 variables (name, cluster, maj.vote.index).
prop.matrix	Additionnal info.

Author(s)

Bertrand Frederic, Myriam Maumy-Bertrand.

Examples

library(Patterns)
if(require(CascadeData)){
data(micro_S, package="CascadeData")
D<-Patterns::as.omics_array(micro_S[1:20,],1:4,6)
b<-Patterns::clustInference(D,0.5)
b
}

Patterns documentation built on Dec. 1, 2022, 5:09 p.m.