SharedComps: Intersection of clusters over multiple methods

In IntClust: Integrated Data Analysis via Clustering

Description

The SharedComps function is an easy way to select the compounds that are shared over clusters of different methods.

Usage

SharedComps(List,nrclusters=NULL,fusionsLog=FALSE,WeightClust=FALSE,names=NULL)

Arguments

List	A list of clustering outputs or the output of the DiffGenes function. The first element of the list will be used as a reference in ReorderToReference.
nrclusters	If List is the output several clustering methods, it has to be provided in how many clusters to cut the dendrograms in.
fusionsLog	To be handed to ReorderToReference.
WeightClust	To be handed to ReorderToReference.
names	Names of the methods or clusters.

Value

A vector containing the shared compounds of all listed elements.

Author(s)

Marijke Van Moerbeke

Examples

data(fingerprintMat)
data(targetMat)
data(geneMat)
data(GeneInfo)
data(ListGO)

MCF7_F = Cluster(fingerprintMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="ward",gap=FALSE,maxK=55,StopRange=FALSE)
MCF7_T = Cluster(targetMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="ward",gap=FALSE,maxK=55,StopRange=FALSE)

L=list(MCF7_F,MCF7_T)
names=c('FP','TP')

Comps=SharedComps(List=L,nrclusters=7,fusionsLog=FALSE,WeightClust=FALSE,names=names)

IntClust documentation built on May 2, 2019, 5:23 p.m.