library size normalization of inferred counts?
Hi Tinyi,
Quick question. Are the inferred cell-type specific expression matrices normalized for varying library size of samples/spots? In the vignette for downstream analysis you suggest performing a vst transformation, but this wouldn't correct for library size differences. I was just wondering if I should perform a counts normalization step of the inferred tumor-specific expression matrix, before using it for downstream analysis.
Just to clarify, my input bulk (spot-level) counts matrix is raw counts, as is the single cell reference.
Thank you, Best, Vish
Hi Vish,
I believe vst transformation internally accounts for library size. You may see this for details: https://rdrr.io/bioc/DESeq2/man/varianceStabilizingTransformation.html . But you may certainly use log2 (library size normalized count + pseudo count) too.
Best,
Tinyi
On Mon, Feb 5, 2024 at 10:01 PM vravik @.***> wrote:
Hi Tinyi,
Quick question. Are the inferred cell-type specific expression matrices normalized for varying library size of samples/spots? In the vignette for downstream analysis you suggest performing a vst transformation, but this wouldn't correct for library size differences. I was just wondering if I should perform a counts normalization step of the inferred tumor-specific expression matrix, before using it for downstream analysis.
Just to clarify, my input bulk (spot-level) counts matrix is raw counts, as is the single cell reference.
Thank you, Best, Vish
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