Dear all, I have performed hierarchical clustering for bisulfite DNA methylation data using two different dissimilarity methods: euclidean distance and pearson correlation by using R package pvclust. However,the tree structure based on those two methods are different. My question is which one should I use for hierarchical clustering of bimodal distributed DNA methylation data? Is there any published paper that have already compared different dissimilarity methods?
Thanks in advance.