Visualize cells according to spatial AND dimension reduction coordinates in ggplot mode
spatDimGenePlot(...)
Arguments passed on to spatDimGenePlot2D
gobject
giotto object
show_image
show a tissue background image
gimage
a giotto image
image_name
name of a giotto image
expression_values
gene expression values to use
plot_alignment
direction to align plot
genes
genes to show
dim_reduction_to_use
dimension reduction to use
dim_reduction_name
dimension reduction name
dim1_to_use
dimension to use on x-axis
dim2_to_use
dimension to use on y-axis
dim_point_shape
dim reduction points with border or not (border or no_border)
dim_point_size
dim reduction plot: point size
dim_point_alpha
transparancy of dim. reduction points
dim_point_border_col
color of border around points
dim_point_border_stroke
stroke size of border around points
show_NN_network
show underlying NN network
show_spatial_network
show underlying spatial netwok
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
dim_network_color
color of NN network
dim_edge_alpha
dim reduction plot: column to use for alpha of the edges
scale_alpha_with_expression
scale expression with ggplot alpha parameter
sdimx
spatial x-axis dimension name (default = 'sdimx')
sdimy
spatial y-axis dimension name (default = 'sdimy')
spatial_network_name
name of spatial network to use
spatial_network_color
color of spatial network
show_spatial_grid
show spatial grid
grid_color
color of spatial grid
spatial_grid_name
name of spatial grid to use
spat_point_shape
spatial points with border or not (border or no_border)
spat_point_size
spatial plot: point size
spat_point_alpha
transparancy of spatial points
spat_point_border_col
color of border around points
spat_point_border_stroke
stroke size of border around points
spat_edge_alpha
edge alpha
cell_color_gradient
vector with 3 colors for numeric data
gradient_midpoint
midpoint for color gradient
gradient_limits
vector with lower and upper limits
show_legend
show legend
legend_text
size of legend text
dim_background_color
color of plot background for dimension plot
spat_background_color
color of plot background for spatial plot
vor_border_color
border colorr for voronoi plot
vor_max_radius
maximum radius for voronoi 'cells'
vor_alpha
transparancy of voronoi 'cells'
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 plots
return_plot
return ggplot object
save_plot
directly save the plot [boolean]
save_param
list of saving parameters, see showSaveParameters
default_save_name
default save name for saving, don't change, change save_name in save_param
ggplot
Description of parameters.
Other spatial and dimension reduction gene expression visualizations:
spatDimGenePlot2D()
,
spatDimGenePlot3D()
data(mini_giotto_single_cell)
all_genes = slot(mini_giotto_single_cell, 'gene_ID')
selected_genes = all_genes[1]
spatDimGenePlot(mini_giotto_single_cell, genes = selected_genes,
dim_point_size = 3, spat_point_size = 3,
cow_n_col = 1, plot_alignment = 'horizontal')