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satijalab / sctransform

R package for modeling single cell UMI expression data using regularized negative binomial regression
GNU General Public License v3.0
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Spatial transcriptomics #42

Open alextamburino opened 4 years ago

alextamburino commented 4 years ago

Hi @ChristophH @satijalab

Not an issue - but would appreciate your input. Would it be appropriate to create a Seurat object with Spatial Transcriptomics data and use SCTransform to normalize it?

Thanks in advance!

Alex

ChristophH commented 4 years ago

Hi Alex, I cannot comment since I have not had a chance to look at Spatial Transcriptomics data. But I'd assume that it looks quite different from droplet based UMI scRNA data and needs its own specific normalization methods.