diff --git a/docs/articles/Recovery_scRNA.html b/docs/articles/Recovery_scRNA.html index 2587c47..4975cb0 100644 --- a/docs/articles/Recovery_scRNA.html +++ b/docs/articles/Recovery_scRNA.html @@ -88,7 +88,7 @@
A seurat object for the demo data can be accessed from WU2161_seurat_obj.rds.
+A seurat object for the demo data can be accessed from WU2161_seurat_obj.rds.
drive_deauth() # Disable Google sign-in requirement
-drive_download(as_id("17356t3n4vY581hogyi0Gmz4Sj5v804Vz"), "WU2161_seurat_obj.rds", overwrite = TRUE)
First, load the seurat object into R:
# Load the seurat object
@@ -113,7 +113,7 @@ Data preparation
# Cell type annotations
unique(obj$CellType)
## [1] "Macrophage" "B" "CD4T" "CD8T" "Neuron"
+## [1] "Macrophage" "B" "CD4T" "CD8T" "Other"
## [6] "Fibroblast" "Epithelial" "Plasma"
Next, normalize the gene expression data using SCTransform
or NormalizeData.
@@ -159,7 +159,7 @@
Data preparation
table(ctann)
## ctann
-## B CD4T CD8T Epithelial Fibroblast Macrophage Neuron
+## B CD4T CD8T Epithelial Fibroblast Macrophage Other
## 97 138 425 121 44 374 91
## Plasma
## 47
@@ -220,10 +220,10 @@ Data preparationctann = ctann[match(colnames(normdata), rownames(ctann)), 1]
table(ctann)
## ctann
-## B CD4T CD8T Epithelial Fibroblast Macrophage Plasma
-## 97 138 425 121 44 374 47
-## Unknown
-## 91
+## B CD4T CD8T Epithelial Fibroblast Macrophage Other
+## 97 138 425 121 44 374 91
+## Plasma
+## 47