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Thanks for the good tools. My issue is as follow. If I'd like to get the cell proportion in each spot based on Spatial Transcriptomics data and Sc-RNA reference what should I do to satisfy the model input. E.g. can I just use the raw count data in ST and ScRNA dataset or I need to do normalization and log() operation before mapping cause I noticed you have mentioned in your paper "we do not assume that G and S measure gene expression using the same unit of measures" in Methods part. Does it mean the raw count data is OK? Thanks!
The text was updated successfully, but these errors were encountered:
Hi @Epoch1128 . It will still be better if you normalize the data before mapping. But no need to take log operation because Tangram linearly combines the gene expression between different cells.
Thanks for the good tools. My issue is as follow. If I'd like to get the cell proportion in each spot based on Spatial Transcriptomics data and Sc-RNA reference what should I do to satisfy the model input. E.g. can I just use the raw count data in ST and ScRNA dataset or I need to do normalization and log() operation before mapping cause I noticed you have mentioned in your paper "we do not assume that G and S measure gene expression using the same unit of measures" in Methods part. Does it mean the raw count data is OK? Thanks!
The text was updated successfully, but these errors were encountered: