runWNN | R Documentation |
Multi omics integration with WNN
runWNN(
gobject,
spat_unit = "cell",
modality_1 = "rna",
modality_2 = "protein",
pca_name_modality_1 = "rna.pca",
pca_name_modality_2 = "protein.pca",
k = 20,
integrated_feat_type = NULL,
matrix_result_name = NULL,
w_name_modality_1 = NULL,
w_name_modality_2 = NULL
)
gobject |
A Giotto object with individual PCA modalities pre-calculated |
spat_unit |
spatial unit |
modality_1 |
modality 1 name. Default = "rna" |
modality_2 |
modality 2 name. Default = "protein" |
pca_name_modality_1 |
Default = 'rna.pca' |
pca_name_modality_2 |
Default = 'protein.pca' |
k |
k number, default = 20 |
integrated_feat_type |
integrated feature type (e.g. 'rna_protein') |
matrix_result_name |
Default = 'theta_weighted_matrix' |
w_name_modality_1 |
name for modality 1 weights |
w_name_modality_2 |
name for modality 2 weights |
A Giotto object with integrated UMAP (integrated.umap) within the dimension_reduction slot and Leiden clusters (integrated_leiden_clus) in the cellular metadata.
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