embed in grey scale using PCA Loading value
Usage
embed_pcal(counts, dimensions, features = NULL, verbose = TRUE)
Arguments
- counts
Seurat object containing normalised counts
- dimensions
number dimension to retain from PCA
- features
custom vector of features
- verbose
logical if progress messages should be outputed
Value
normalised PCA loading matrix
Details
This approach is a slightly different as it takes
the loading value associted to each gene in a barcode and sums
the absolute value of each of those values.
Once all genes in all barcodes have been summed,
we normalise the latent space and return the matrix.