plotHeatmap

plotHeatmap

Description

Creates heatmap for genes and clusters.

Usage

plotHeatmap(
  gobject,
  expression_values = c("normalized", "scaled", "custom"),
  genes,
  cluster_column = NULL,
  cluster_order = c("size", "correlation", "custom"),
  cluster_custom_order = NULL,
  cluster_color_code = NULL,
  cluster_cor_method = "pearson",
  cluster_hclust_method = "ward.D",
  gene_order = c("correlation", "custom"),
  gene_custom_order = NULL,
  gene_cor_method = "pearson",
  gene_hclust_method = "complete",
  show_values = c("rescaled", "z-scaled", "original"),
  size_vertical_lines = 1.1,
  gradient_colors = c("blue", "yellow", "red"),
  gene_label_selection = NULL,
  axis_text_y_size = NULL,
  legend_nrows = 1,
  show_plot = NA,
  return_plot = NA,
  save_plot = NA,
  save_param = list(),
  default_save_name = "plotHeatmap"
)

Arguments

Argument

Description

gobject

giotto object

expression_values

expression values to use

genes

genes to use

cluster_column

name of column to use for clusters

cluster_order

method to determine cluster order

cluster_custom_order

custom order for clusters

cluster_color_code

color code for clusters

cluster_cor_method

method for cluster correlation

cluster_hclust_method

method for hierarchical clustering of clusters

gene_order

method to determine gene order

gene_custom_order

custom order for genes

gene_cor_method

method for gene correlation

gene_hclust_method

method for hierarchical clustering of genes

show_values

which values to show on heatmap

size_vertical_lines

sizes for vertical lines

gradient_colors

colors for heatmap gradient

gene_label_selection

subset of genes to show on y-axis

axis_text_y_size

size for y-axis text

legend_nrows

number of rows for the cluster legend

show_plot

show plot

return_plot

return ggplot object

save_plot

directly save the plot [boolean]

save_param

list of saving parameters, see ``showSaveParameters` <#showsaveparameters>`_

default_save_name

default save name

Details

If you want to display many genes there are 2 ways to proceed:

    1. set axis_text_y_size to a really small value and show all genes

    1. provide a subset of genes to display to gene_label_selection

Value

ggplot

Examples

data(mini_giotto_single_cell)

# get all genes
all_genes = slot(mini_giotto_single_cell, 'gene_ID')

# plot heatmap
plotHeatmap(mini_giotto_single_cell,
genes = all_genes[1:10])

# look at cell metadata
cell_metadata = pDataDT(mini_giotto_single_cell)

# plot heatmap per cell type, a column name from cell_metadata
plotHeatmap(mini_giotto_single_cell,
genes = all_genes[1:10],
cluster_column = 'cell_types')