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RCTD is a very wonderful piece of work and I have recently used RCTD to deconvolve my spatial transcriptomic data, but the inputs to the reference dataset have also raised a question for me. It is very difficult for the spatial transcriptomic data to appear identical to the reference dataset in terms of cell types, so I am curious to know how RCTD manages cell types that are present in the spatial data but absent in the reference dataset. Looking forward to your reply!
The text was updated successfully, but these errors were encountered:
RCTD is a very wonderful piece of work and I have recently used RCTD to deconvolve my spatial transcriptomic data, but the inputs to the reference dataset have also raised a question for me. It is very difficult for the spatial transcriptomic data to appear identical to the reference dataset in terms of cell types, so I am curious to know how RCTD manages cell types that are present in the spatial data but absent in the reference dataset. Looking forward to your reply!
The text was updated successfully, but these errors were encountered: