UMAP Wrapper¶
-
plotUMAP()
Short wrapper for UMAP visualization.
plotUMAP(
gobject,
dim_reduction_name = "umap",
default_save_name = "UMAP",
...
)
Arguments¶
gobject |
giotto object |
dim_reduction_name |
name of UMAP |
default_save_name |
default save name of UMAP plot |
… |
Arguments passed on to dimPlot2D() |
group_by |
create multiple plots based on cell annotation column |
group_by_subset |
subset the group_by factor column |
dim1_to_use |
dimension to use on x-axis |
dim2_to_use |
dimension to use on y-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 |
cell_color_gradient |
vector with 3 colors for numeric data |
gradient_midpoint |
midpoint for color gradient |
gradient_limits |
vector with lower and upper limits |
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 |
center_point_border_col |
border color of center points |
center_point_border_stroke |
border stroke size of center points |
label_size |
size of labels |
label_fontface |
font of labels |
edge_alpha |
column to use for alpha of the edges |
point_shape |
point with border or not (border or no_border) |
point_size |
size of point (cell) |
point_alpha |
transparency of point |
point_border_col |
color of border around points |
point_border_stroke |
stroke size of border around points |
title |
title for plot, defaults to cell_color parameter |
show_legend |
show legend |
legend_text |
size of legend text |
legend_symbol_size |
size of legend symbols |
background_color |
color of plot background |
axis_text |
size of axis text |
axis_title |
size of axis title |
cow_n_col |
cowplot param: how many columns |
cow_rel_h |
cowplot param: relative height |
cow_rel_w |
cowplot param: relative width |
cow_align |
cowplot param: how to align |
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¶
A ggplot.
Details¶
This is a wrapper function to generate a UMAP visualization from read depth normalized expression matrix.
UMAP can accept as input the original gene expression matrix (set dim_reduction_to_use=NULL) or the dimension reduced matrix from PCA (default) (dim_reduction_to_use=”pca”).
If principle components are analyzed, then one specifies the dimensions_to_use
.
It is possible to further define the number of neighbors (n_neighbors), number of epochs (n_epochs), and min_dist (see UMAP parameter guide here). The options set_seed and seed_number are helpful to fix the random number generation seed so that the same result is returned each time the function is run.
A plot will be returned in the result.
See dimPlot2D() and dimPlot3D() for 3D plot information.
See also
Other reduced dimension visualizations: dimPlot2D(), dimPlot3D(), plotPCA_2D(), plotPCA_3D(), plotPCA(), plotTSNE_2D(), plotTSNE_3D(), plotTSNE(), plotUMAP_2D(), plotUMAP_3D(), plotUMAP().
Examples¶
data(mini_giotto_single_cell)
plotUMAP(mini_giotto_single_cell)
plotUMAP(mini_giotto_single_cell, cell_color = 'cell_types', point_size = 3)