Project cells from one Seurat object onto the pseudotime axis (or any other continuous variable) from another Seurat object.
1 2 3 | ProjectCells(dge_train, dge_test, genes.use = dge_train@var.genes,
regressout = c("IG1.S", "S", "G2.M", "M", "M.G1"),
to_project = "pseudotime", k = 25, pc.use = 1:25, test_mode = F)
|
dge_train |
Seurat object with 'pseudotime' field included. |
dge_test |
Seurat object. Cells will be assigned a pseudotime value based on 'dge_train'. |
genes.use |
Defaults to 'dge_train@var.genes'. If you use method="PCA", use the same genes here. If you aren't sure, use method="KNN". |
regressout |
Please put whatever you used for 'latent.vars' in RegressOut when you processed 'dge_train'. |
to_project |
Character vector such that FetchData( dge_train, to_project) contains numeric columns. Try "pseudotime" or c("tSNE_1", "tSNE_2"). |
k |
Number of nearest neighbors to use. |
pc.use |
which principal components to use for nearest neighbor search. |
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