What's the preferred way in R for handling samples with binary data
(like chemical fingerprints encoded as hexadecimal strings with 0's and
1's indicating the absence or presence of chemical features) in methods
such as clustering and MDS. Do you always have to expand the fingerprint
data into individual variables (which can be a few hundreds) or can they
be used directly as binary data by some of these methods.

 

Thanks,  Moises

 


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