I am working on whole-genome-bisulfite data and would like to detect differentillay methylated regions. When having predefine conditions for each sample (i.e. clinical infromation), this is not a big deal. Since I am working on a more or less mining-project, I would like to know if there is information hidden in my data, which has not been annotated so far. Does anyone of you know an unsupervised-like method for detecting DMRs?