"vars.to.regress" not working

xiao00su commented 7 months ago

after upgrade Seurat to ”V5“，the cell cycle effects seems could not regress out after SCTransform program. Whether the vars.to.regress = c( "S.Score", "G2M.Score" ) is set or not, I got the same clustering results. Anything wrong with my code?

cc.genes$s.genes <- tolower(cc.genes$s.genes) %>% str_to_title()
cc.genes$g2m.genes <- tolower(cc.genes$g2m.genes) %>% str_to_title() 
gfaps <- SCTransform(gfaps, vst.flavor = "v2", assay = "RNA", new.assay.name = "SCT", variable.features.n = 5000,
                     do.scale = T, do.center = T, return.only.var.genes = T, verbose = T,  vars.to.regress = c( "S.Score", "G2M.Score"  ) ) 

Regressing out S.Score, G2M.Score |===========================================================================================| 100%

E18Ctx_E17_noReg

saketkc commented 7 months ago

Can you update to Seurat 5.0.1 and check again? This was fixed in the latest release.

xiao00su commented 7 months ago

Can you update to Seurat 5.0.1 and check again? This was fixed in the latest release. My Seurat version is already 5.0.1 form CRAN. Do I need to install the package from github?

xiao00su commented 7 months ago

Hi Saket， My Seurat version is 5.0.1 form CRAN. I try the developer version of Seurat from github and different version of SCTransform, the problem remains unresolved. Cell cycle effect can be successfully regressing out using ScaleData function.

Xiaosu

Saket Choudhary @.***> 于2023年11月23日周四 17:04写道：

Closed #174 https://github.com/satijalab/sctransform/issues/174 as completed.

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satijalab / sctransform

"vars.to.regress" not working #174