In tutorial, program looks like start from RAW counts matrix.
Can I use normalized Seurat object which have already done PCA UMAP?
data("small_BC_atlas")
data <- gficf( M = small_BC_atlas)
data <- runPCA(data = data,dim = 10,use.odgenes = T)
data <-runReduction(data = data,reduction = "umap",nt = 2,verbose = T,n_neighbors=150)
In tutorial, program looks like start from RAW counts matrix.
Can I use normalized Seurat object which have already done PCA UMAP?