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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Why $SCT assay during differential expression analysis? #165

Closed Ryuzaman closed 1 year ago

Ryuzaman commented 1 year ago

Hello there! I have a question regarding data integration using SCTransform. The integration paper states that the $integrated assay data can be used for downstream analysis such as dimensionality reduction and clustering. Intuitively, I feel that for differential expression analysis, we should use the data with batch effect removed using anchors ($integrated). However, in the tutorial, it mentions using the data from $SCT assay for visualization and differential expression analysis. I would like to know if there are any specific reasons to use the $SCT assay data. I did come across a previous issue suggesting the use of $SCT, but it did not mention the reasons behind it. Or, if there is any existing paper that addresses this, please let me know. Sincerely, Ryuzaman

saketkc commented 1 year ago

It is covered on multiple issues on the seurat repo:

https://github.com/satijalab/seurat/discussions/5452 https://github.com/satijalab/seurat/discussions/4000

Ryuzaman commented 1 year ago

Thanks!