I have used heatmap to visualize my microarray data. I have a matrix of M-values. I do the following.
#The distance between the columns. sampdist <- dist(t(matrix[,]), method="euclidean") sclus <- hclust(sampdist, method="average") #The distance between the rows. genedist <- dist(matrix[,], method="euclidean") gclus <- hclust(genedist, method="average") heatmap(matrix[,],Rowv=as.dendrogram(gclus),Colv=as.dendrogram(sclus), col=rbg)
So far so good. But what if I want to look at a group of genes that appear to have the same expression pattern in the heatmap? How do I zoom in on a dendogram in a heatmap to look at which genes that are forming the interesting clusters? I would really appreciate if someone could give me a pointer.
Best regards.
/ Johan
******************************************************************************************* Johan Lindberg Royal Institute of Technology AlbaNova University Center Stockholm Center for Physics, Astronomy and Biotechnology Department of Molecular Biotechnology 106 91 Stockholm, Sweden
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