plot_heatmap: Plot expression data along a trajectory

In dynplot: Visualising Single-Cell Trajectories

Description

NOTE: When using RStudio, the heatmap might not show inside the plot area, but will be visible once you click the 'Zoom' button.

Usage

plot_heatmap(
  trajectory,
  expression_source = "expression",
  features_oi = 20,
  clust = "ward.D2",
  margin = 0.02,
  color_cells = NULL,
  milestones = NULL,
  milestone_percentages = trajectory$milestone_percentages,
  grouping = NULL,
  groups = NULL,
  cell_feature_importances = NULL,
  heatmap_type = c("tiled", "dotted"),
  scale = dynutils::scale_quantile,
  label_milestones = TRUE
)

Arguments

trajectory	A dynwrap trajectory.
expression_source	Source of the feature expression, defaults to get_expression(trajectory).
features_oi	The features of interest, either the number of features or a vector giving the names of the different features
clust	The method to cluster the features, or a hclust object
margin	A margin between trajectory segments.
color_cells	How to color the cells. "auto": Try to figure out how to color cells depending on whether one of the grouping, feature_io, milestones or pseudotime parameters are defined. "none": Cells are not coloured. "grouping": Cells are coloured according to a grouping (e.g. clustering). Either the grouping parameter or trajectory$grouping must be a named character vector. "feature": Cells are coloured according to the values of a given feature (e.g. gene expression). Either the expression_source parameter or get_expression(trajectory) must be a matrix. Parameter feature_oi must also be defined. "milestone" (recommended): Cells are coloured according their position in the trajectory. The positioning of the cells are determined by parameter milestone_percentages or else by trajectory$milestone_percentages. The colours of the milestones can be determined automatically or can be specified by passing a tibble containing character columns milestone_id and color (See add_milestone_coloring() for help in constructing this object). "pseudotime": Cells are coloured according to the pseudotime value from the root.
milestones	Tibble containing the column milestone_id (character). If color_milestones is set to "given", this tibble should also contain a column color (character), containing colour hex codes (e.g. "#123456").
milestone_percentages	The milestone percentages.
grouping	A grouping of the cells (e.g. clustering) as a named character vector.
groups	A tibble containing character columns group_id and color. If NULL, this object is inferred from the grouping itself.
cell_feature_importances	The importances of every feature in every cell, as returned by dynfeature::calculate_cell_feature_importance()
heatmap_type	The type of heatmap, either tiled or dotted
scale	Whether to rescale the expression, can be a function or boolean
label_milestones	How to label the milestones. Can be TRUE (in which case the labels within the trajectory will be used), "all" (in which case both given labels and milestone_ids will be used), a named character vector, or FALSE

Value

A heatmap ggplot of an expression dataset with trajectory.

Examples

data(example_bifurcating)
plot_heatmap(example_bifurcating)

dynplot documentation built on Dec. 11, 2021, 9:33 a.m.