NAMprep | R Documentation |
NAM prep Running the NAMscore function on a Seurat object uses the scale.data slot If Scale() was only run on the most variable features (default) rather than all features then many of the key markers could be lost (especially if one cell type is over-represented). NAM prep process a Seurat object to run the ScaleData() function on all features rather than only the 2000 most variable. Can take a while.
NAMprep(object)
object |
Seurat object |
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