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I ran dca with scanpy and checked the maximum value of the matrix,
np.max(adata_imputed.X)
185.14267
which is even smaller than the original raw counts' maximum
np.max(adata.layers["counts"])
296
How shall I explain such a phenomenon? My personal explanation would be, dca is an AE-based denoiser, not guaranteed to be a missing data imputing tool. Am I right? can you give me more explanation from the AE theoretical principle?
Look forward to your reply. Thanks.
The text was updated successfully, but these errors were encountered:
Hi,
I ran dca with scanpy and checked the maximum value of the matrix,
np.max(adata_imputed.X)
185.14267
which is even smaller than the original raw counts' maximum
np.max(adata.layers["counts"])
296
How shall I explain such a phenomenon? My personal explanation would be, dca is an AE-based denoiser, not guaranteed to be a missing data imputing tool. Am I right? can you give me more explanation from the AE theoretical principle?
Look forward to your reply. Thanks.
The text was updated successfully, but these errors were encountered: