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
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