Reputation: 151
I have the data matrix in the following way:
ID_REF GSM362180 GSM362181 GSM362188 GSM362189 GSM362192
244901 5.094871713 4.626623079 4.554272515 4.748604391 4.759221647
244902 5.194528083 4.985930299 4.817426064 5.151654407 4.838741605
244903 5.412329253 5.352970877 5.06250609 5.305709079 8.365082403
244904 5.529220594 5.28134657 5.467445095 5.62968933 5.458388909
244905 5.024052699 4.714631878 4.792865831 4.843975286 4.657188246
244906 5.786557533 5.242403911 5.060605782 5.458148567 5.890061836
I would like to cluster it column-wise to find out the similar promoters( columns represent the promoters and the rows - the genes). I used pv clust to do it earlier but would like to have a more detailed clustering ( maybe with hierarchial type ?). I would like to know how far the columns cluster together. I have in total 20 columns and 22810 genes.
Upvotes: 0
Views: 818
Reputation: 60924
Googling for R clustering
yields a host of interesting results. An option could be hclust
. This link might also be interesting.
Upvotes: 1