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What would the point be of doing PCA on a dataset with less than 50 contigs before some other dimension reduction technique? I think before making this change there should be some data gathered on whether it is useful or makes a difference.
Would it be okay to switch:
Autometa/autometa/common/kmers.py
Lines 601 to 607 in 0d9028c
to adapt to a lower pca dimension when there aren't enough contigs/kmers
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