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Question on computing niches on spatial data
Hey,
I just want to use the COVET method to compute niches on spatial data. I have several batches in my data. Should I just use compute_covet
function with batch_key
to get the COVET_SQRT
representation of the spatial data? Can I just compute neighbors and run louvain clustering on that representation to cluster my data? I am assuming adding batch information wouldn't result in separate clusters per batch.
Also, can I use a latent space representation like one from scVI instead of selecting HVGs and compute COVET on the latent representation instead of genes?
Thanks