hierclusMicroRna: Hierarchical clustering

In AgiMicroRna: Processing and Differential Expression Analysis of Agilent microRNA chips

Description

Hierarchical cluster of samples using the 'hclust' function

Usage

hierclusMicroRna(object, GErep, methdis, methclu,sel, size)

Arguments

object	An expression Matrix
GErep	Numerical vector that relates each sample with its experimental condition
methdis	the distance measure to be used. Options are 'euclidean' and 'pearson'. see 'dist' function
methclu	the agglomeration method to be used by the 'hclust' function
sel	logical, if TRUE selects the 'size' highest variance genes for the plot
size	selects the 'size' highest variance genes for the plot if 'sel=TRUE'

Author(s)

Pedro Lopez-Romero

See Also

hclust,dist

Examples

 	data(targets.micro)
        data(ddPROC)

	hierclusMicroRna(ddPROC$TGS,GErep,
		methdis="euclidean",
        	methclu="complete",
		sel=FALSE,100)

AgiMicroRna documentation built on Nov. 8, 2020, 5:25 p.m.