make_heatmap_ggplot: Make a ggplot heatmap object from an input matrix (2-color).

In saeyslab/nichenetr: NicheNet: Modeling Intercellular Communication by Linking Ligands to Target Genes

Make a ggplot heatmap object from an input matrix (2-color).

Description

make_heatmap_ggplot Make a ggplot heatmap object from an input matrix containing continuous values. Two-color scale from white to color of choice.

Usage

make_heatmap_ggplot(matrix, y_name, x_name, y_axis = TRUE,x_axis = TRUE, x_axis_position = "top", legend_position = "top", color = "blue", legend_title = "score",...)

Arguments

matrix	Matrix with continuous values to plot in heatmap
y_name	Title of the y-axis
x_name	Title of the x-axis
y_axis	Should y-axis label names and titles be displayed? TRUE or FALSE. Default: TRUE.
x_axis	Should x-axis label names and titles be displayed? TRUE or FALSE. Default: TRUE.
x_axis_position	X-axis position: "top" or "bottomm"; only relevant if x_axis == TRUE. Default:"top".
legend_position	Legend position: "top", "bottom", "left", "right" or "none". Default: "top".
color	Color for highest continuous value in heatmap. Color gradient will go from "whitesmoke" to this color. Default: "blue".
legend_title	Title of the legend.
...	Optional arguments passed to element_text(); used to set font type and size of axis labels and titles.

Value

A ggplot object displaying a heatmap

Examples

## Not run: 
library(dplyr)
weighted_networks = construct_weighted_networks(lr_network, sig_network, gr_network,source_weights_df)
ligands = list("TNF","BMP2",c("IL4","IL13"))
ligand_target_matrix = construct_ligand_target_matrix(weighted_networks, ligands, ltf_cutoff = 0.99, algorithm = "PPR", damping_factor = 0.5,ligands_as_cols = TRUE)
p = make_heatmap_ggplot(ligand_target_matrix[1:50,] %>% t(), y_name = "ligand", x_name = "target")

## End(Not run)

saeyslab/nichenetr documentation built on April 27, 2024, 9:24 p.m.