Add a network layout for a selected nearest neighbor network
Usage
addNetworkLayout(
  gobject,
  spat_unit = NULL,
  feat_type = NULL,
  nn_network_to_use = "sNN",
  network_name = "sNN.pca",
  layout_type = c("drl"),
  options_list = NULL,
  layout_name = "layout",
  return_gobject = TRUE
)Arguments
- gobject
- giotto object 
- spat_unit
- spatial unit 
- feat_type
- feature type 
- nn_network_to_use
- kNN or sNN 
- network_name
- name of NN network to be used 
- layout_type
- layout algorithm to use 
- options_list
- list of options for selected layout 
- layout_name
- name for layout 
- return_gobject
- boolean: return giotto object (default = TRUE) 
Details
This function creates layout coordinates based on the provided
kNN or sNN.
Currently only the force-directed graph layout "drl",
see layout_with_drl, is implemented.
This provides an alternative to tSNE or UMAP based visualizations.
Examples
g <- GiottoData::loadGiottoMini("visium")
#> 1. read Giotto object
#> 2. read Giotto feature information
#> 3. read Giotto spatial information
#> 3.1 read Giotto spatial shape information
#> 3.2 read Giotto spatial centroid information
#> 3.3 read Giotto spatial overlap information
#> 4. read Giotto image information
#> python already initialized in this session
#>  active environment : 'giotto_env'
#>  python version : 3.10
addNetworkLayout(g)
#> An object of class giotto 
#> >Active spat_unit:  cell 
#> >Active feat_type:  rna 
#> dimensions    : 634, 624 (features, cells)
#> [SUBCELLULAR INFO]
#> polygons      : cell 
#> [AGGREGATE INFO]
#> expression -----------------------
#>   [cell][rna] raw normalized scaled
#> spatial locations ----------------
#>   [cell] raw
#> spatial networks -----------------
#>   [cell] Delaunay_network spatial_network
#> spatial enrichments --------------
#>   [cell][rna] cluster_metagene DWLS
#> dim reduction --------------------
#>   [cell][rna] pca custom_pca umap custom_umap tsne
#> nearest neighbor networks --------
#>   [cell][rna] sNN.pca custom_NN
#> attached images ------------------
#> images      : alignment image 
#> 
#> 
#> Use objHistory() to see steps and params used
