| dimGenePlot2D | R Documentation | 
Visualize gene expression according to dimension reduction coordinates
dimGenePlot2D(
  gobject,
  expression_values = c("normalized", "scaled", "custom"),
  genes = NULL,
  dim_reduction_to_use = "umap",
  dim_reduction_name = "umap",
  dim1_to_use = 1,
  dim2_to_use = 2,
  show_NN_network = F,
  nn_network_to_use = "sNN",
  network_name = "sNN.pca",
  network_color = "lightgray",
  edge_alpha = NULL,
  scale_alpha_with_expression = FALSE,
  point_shape = c("border", "no_border"),
  point_size = 1,
  point_alpha = 1,
  cell_color_gradient = c("blue", "white", "red"),
  gradient_midpoint = NULL,
  gradient_limits = NULL,
  point_border_col = "black",
  point_border_stroke = 0.1,
  show_legend = T,
  legend_text = 8,
  background_color = "white",
  axis_text = 8,
  axis_title = 8,
  cow_n_col = 2,
  cow_rel_h = 1,
  cow_rel_w = 1,
  cow_align = "h",
  show_plot = NA,
  return_plot = NA,
  save_plot = NA,
  save_param = list(),
  default_save_name = "dimGenePlot2D"
)
| gobject | giotto object | 
| expression_values | gene expression values to use | 
| 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 | 
| 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 | 
| network_color | color of NN network | 
| edge_alpha | column to use for alpha of the edges | 
| scale_alpha_with_expression | scale expression with ggplot alpha parameter | 
| point_shape | point with border or not (border or no_border) | 
| point_size | size of point (cell) | 
| point_alpha | transparancy of points | 
| cell_color_gradient | vector with 3 colors for numeric data | 
| gradient_midpoint | midpoint for color gradient | 
| gradient_limits | vector with lower and upper limits | 
| point_border_col | color of border around points | 
| point_border_stroke | stroke size of border around points | 
| show_legend | show legend | 
| legend_text | size of legend text | 
| 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 plots | 
| return_plot | return ggplot object | 
| save_plot | directly save the plot [boolean] | 
| save_param | list of saving parameters, see  | 
| default_save_name | default save name for saving, don't change, change save_name in save_param | 
Description of parameters.
ggplot
dimGenePlot3D
Other dimension reduction gene expression visualizations: 
dimGenePlot3D(),
dimGenePlot()
data(mini_giotto_single_cell)
all_genes = slot(mini_giotto_single_cell, 'gene_ID')
selected_genes = all_genes[1:2]
dimGenePlot2D(mini_giotto_single_cell, genes = selected_genes, point_size = 3)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.