This function takes a Seurat object as input and does data
cleaning and pre-processing. For example, it replaces the "+" and "-"
signs in the celltype column with "plus" and "minus", respectively.
It also removes patients that have less than 10 cells across all cell types.
If the normalise argument is set to TRUE, the function will normalize
the data using the Seurat::NormalizeData function.
Arguments
- data
input data, a Seurat object.
- normalise
a logical value indicating whether to normalize the data or not. Default value is
TRUE.
Examples
data("example_scrnaseq" , package = "scFeatures")
data <- example_scrnaseq
data <- process_data(data, normalise = FALSE)