HeatmapDistance: Generate Heatmaps for Original and Perturbed Matrices

This function generates two heatmaps from two matrices (original and perturbed) and displays them side by side on the same color scale.

Usage

HeatmapDistance(
  df_original,
  df_perturbed,
  custom_palette = NULL,
  title_original = "Original Assay Cluster Similarity Distance",
  title_perturbed = "Perturbed Assay Cluster Similarity Distance",
  custom_order = NULL,
  col_fun = NULL
)

Arguments

df_original

A numeric matrix representing the original (unperturbed) data.

df_perturbed

A numeric matrix representing the perturbed data.

custom_palette

A vector of colors to define the color palette. Defaults to a red/blue gradient.

title_original

The title for the original heatmap. Defaults to "Original Assay Cluster Similarity Distance".

title_perturbed

The title for the perturbed heatmap. Defaults to "Perturbed Assay Cluster Similarity Distance".

custom_order

A character vector specifying the order of clusters for the x and y axes.

col_fun

Optional color mapping function created by circlize::colorRamp2(). If provided, HeatmapDistance() will derive a shared color scale from the breaks and colors attributes of col_fun and apply it to both heatmaps. When col_fun is supplied, custom_palette is ignored.

Value

A patchwork object combining the two heatmaps.

Examples

p <- HeatmapDistance(df_edist_observed, df_edist_perturbed) # , custom_order = custom_order
#> Error: object 'df_edist_observed' not found