Visualize cells according to dimension reduction coordinates
plotUMAP_3D(
gobject,
dim_reduction_name = "umap",
default_save_name = "UMAP_3D",
...
)
Arguments
gobject |
giotto object |
dim_reduction_name |
name of UMAP |
default_save_name |
default save name of UMAP plot |
... |
Arguments passed on to dimPlot3D
dim1_to_use dimension to use on x-axis
dim2_to_use dimension to use on y-axis
dim3_to_use dimension to use on z-axis
spat_enr_names names of spatial enrichment results to include
show_NN_network show underlying NN network
nn_network_to_use type of NN network to use (kNN vs sNN)
network_name name of NN network to use, if show_NN_network = TRUE
cell_color color for cells (see details)
color_as_factor convert color column to factor
cell_color_code named vector with colors
select_cell_groups select subset of cells/clusters based on cell_color parameter
select_cells select subset of cells based on cell IDs
show_other_cells display not selected cells
other_cell_color color of not selected cells
other_point_size size of not selected cells
show_cluster_center plot center of selected clusters
show_center_label plot label of selected clusters
center_point_size size of center points
label_size size of labels
edge_alpha column to use for alpha of the edges
point_size size of point (cell)
show_plot show plot
return_plot return ggplot object
save_plot directly save the plot [boolean]
save_param list of saving parameters, see showSaveParameters
|
Value
plotly
Details
Description of parameters.
See also
Other reduced dimension visualizations:
dimPlot2D()
,
dimPlot3D()
,
dimPlot()
,
plotPCA_2D()
,
plotPCA_3D()
,
plotPCA()
,
plotTSNE_2D()
,
plotTSNE_3D()
,
plotTSNE()
,
plotUMAP_2D()
,
plotUMAP()