Normalize | R Documentation |
Perform data normalization on the provided input. User must define the number of variable genes to be investigated after normalization.
Normalize(UMI, variable_genes=2000, out_folder=getwd())
UMI |
Input UMI object generated via previous popsicleR functions |
variable_genes |
Number of highly variable genes investigated after normalization. Default is 2000 |
out_folder |
Output folder. Default is the working directory |
Normalize returns two graphs in the "02.PreProcessing" folder:
the first graph (02a) shows expression before and after the normalization step,
while the second (02b) highlights the highly variable genes.
Returns a Seurat Object after normalization process.
Jimmy Caroli, Francesco Grandi
Normalize(seurat_object, variable_genes=2000)
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