R community,
I am trying to cluster large omics datasets (10,000-20,000 variables).
Obviously, with datasets of this size, PC memory is an issue. I am using a
custom distance metric, and am able to generate a dissimilarity matrix in
sparse format. To cluster, for example, using heirarchical
Hello R Helpers,
Business - 64 bit windows 7, R 2.11.1
I am trying to match the character contents of one list, called 'exclude', to
those of a second list, called 'dataset'
dataset is a list of file names with folder locations, and looks like this when
called:
> dataset
[1] "A/10-10-29a-
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