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I am analyzing Smart-seq2 single cell RNA-seq data, which is a full length RNA-seq data.
TPM removes transcript length difference effects from the data.
So, I wonder if I can use the TPM count matrix for Azimuth annotation or I have to use the raw count matrix data since Azimuth performs normalization by itself.
And I wonder If there is a way around of Azimuth's normalization to avoid duplicating normalization in the case I use TPM.
Thank you so much for your help.
Luke
The text was updated successfully, but these errors were encountered:
Dear Authors,
I am analyzing Smart-seq2 single cell RNA-seq data, which is a full length RNA-seq data.
TPM removes transcript length difference effects from the data.
So, I wonder if I can use the TPM count matrix for Azimuth annotation or I have to use the raw count matrix data since Azimuth performs normalization by itself.
And I wonder If there is a way around of Azimuth's normalization to avoid duplicating normalization in the case I use TPM.
Thank you so much for your help.
Luke
The text was updated successfully, but these errors were encountered: