Visualize cells according to spatial AND dimension reduction coordinates in ggplot mode

spatDimGenePlot(...)

Arguments

...

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

Value

ggplot

Details

Description of parameters.

See also

spatDimGenePlot3D

Other spatial and dimension reduction gene expression visualizations: spatDimGenePlot2D(), spatDimGenePlot3D()

Examples


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')