hierclusMicroRna {AgiMicroRna} | R Documentation

## Hierarchical clustering

### 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)

[Package AgiMicroRna version 2.36.0 Index]