Nothing
##########################################################################################
# Function ClusterGeneList() returns both significant and nonsignificant genes from each #
# type of cluster #
# #
# Input Parameters: #
# 1) cluster assignment from the kmeans algorithm #
# 2) significant cluster list returned from ClusterList #
# 3) original data #
# #
# Returns: #
# 1) Two lists of both significant and nonsignificant cluster genes #
# #
# Date: August 12, 2005 #
# written by: Brian Steinmeyer #
##########################################################################################
## create and return genes from all significant and non-significant clusters
ClusterGeneList <- function(clus, clustlist.sig, x.data) {
store.clus <- rep(0, length(clus))
for (i in clustlist.sig[,1]) store.clus[clus==i] <- 1
cluster.genes.sig <- x.data[store.clus==1,]
cluster.genes.nonsig <- x.data[store.clus==0,]
SigGenes <- dimnames(cluster.genes.sig)[[1]]
NonSigGenes <- dimnames(cluster.genes.nonsig)[[1]]
return(list(SignificantClusterGenes=SigGenes, NonSignificantClusterGenes=NonSigGenes))
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.