Hi! I would like to cluster a small data sets [23 genes, 50 samples], but I am totally confused... I don't know what method I should use... could you give me any recommendation?
I have applied hierarchical clustering (Wards method) and it does a really good job, but I would like to know if this approximation is correct. Also, there is a way to validate this clustering or to confirm the number of clusters I should get?
I am interested in clustering both, genes and samples. These gene expression data has been obtained by qPCR and refered, but I don't know if I should scale samples anyway.
Perhpas these are really basic questions but I am starting to learn these type of analysis and R now... so I really appreciate your help!!
Thanks a lot!!!