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create new embedding from jointly measure spatial omics

Usage

concat_embed(seed, query, dimensions, norm_method, dim_reduction, signal)

Arguments

seed

vesalius_assay object of the first modality

query

vesalius_assay object of the second modality

dimensions

int - number of gray scale images to create

norm_method

string describing which normalisation method to use. One of the following "log_norm", "SCT", "TFIDF", "raw"

dim_reduction

string describing which dimensionality reduction method should be used. One of the following: "PCA", "PCA_L", "UMAP", "LSI", "LSI_UMAP"

Value

embedding matrix used as grey scale image stack

Details

Create new latent space using feature from both modalities Creates a new feature matrix than in nromalized and converted to latent space image stack.