embed_pca: embed PCA
In patrickCNMartin/Vesalius: Vesalius: Dissecting Tissue Anatomy from Spatial Transcriptomic Data
embed_pca R Documentation
embed PCA
Description
embed in grey scale using PCA embeddings
Usage
embed_pca(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 embedding matrix
patrickCNMartin/Vesalius documentation built on April 17, 2025, 11:31 p.m.
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| embed_pca | R Documentation |
embed PCA
Description
embed in grey scale using PCA embeddings
Usage
embed_pca(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 embedding matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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