add_end_state_probabilities: Constructs a multifurcating trajectory using end state...

In dynwrap: Representing and Inferring Single-Cell Trajectories

Constructs a multifurcating trajectory using end state probabilities

Description

Constructs a multifurcating trajectory using the pseudotime values of each cell and their end state probabilities. If pseudotime values are not given, will use pseudotime already present in the dataset.

Usage

add_end_state_probabilities(
  dataset,
  end_state_probabilities,
  pseudotime = NULL,
  do_scale_minmax = TRUE,
  ...
)

Arguments

dataset	A dataset created by wrap_data() or wrap_expression()
end_state_probabilities	A dataframe containing the cell_id and additional numeric columns containing the probability for every end milestone. If the tibble contains only a cell_id column, the data will be processed using add_linear_trajectory
pseudotime	A named vector of pseudo times.
do_scale_minmax	Whether or not to scale the pseudotime between 0 and 1. Otherwise, will assume the values are already within that range.
...	Extras to be added to the trajectory

Value

A trajectory object

Examples

dataset <- wrap_data(cell_ids = letters)

pseudotime <- runif(length(dataset$cell_ids))
names(pseudotime) <- dataset$cell_ids
pseudotime
end_state_probabilities <- tibble::tibble(
  cell_id = dataset$cell_ids,
  A = runif(length(dataset$cell_ids)),
  B = 1-A
)
end_state_probabilities
trajectory <- add_end_state_probabilities(dataset, end_state_probabilities, pseudotime)

# for plotting the result, install dynplot
#- dynplot::plot_graph(trajectory)

dynwrap documentation built on July 26, 2023, 5:15 p.m.