dynwrap1.2.4 package

Representing and Inferring Single-Cell Trajectories

gather_cells_at_milestones

Gather cells to their closest milestones

generate_parameter_documentation

Generate the parameter documentation of a method, use with @eval

get_default_parameters

Get the default parameters of a method

get_ti_methods

Return all TI that are installed in one or more packages

group_from_trajectory

Create a grouping from a trajectory

infer_trajectories

Infer one or more trajectories from a single-cell dataset

label_milestones

Label milestones either manually (label_milestones) or using marker ...

add_attraction

Add attraction of cells using RNA velocity

add_branch_trajectory

Construct a trajectory given its branch network and the pseudotime of ...

add_cell_graph

Constructs a trajectory using a graph between cells, by mapping cells ...

add_cell_waypoints

Add or select waypoint cells of a trajectory

add_cluster_graph

Constructs a trajectory using a cell grouping and a network between gr...

add_cyclic_trajectory

Constructs a circular trajectory using the pseudotime values of each c...

add_dimred

Add or create a dimensionality reduction

add_dimred_projection

Constructs a trajectory by projecting cells within a dimensionality re...

add_end_state_probabilities

Constructs a multifurcating trajectory using end state probabilities

add_expression

Add count and normalised expression values to a dataset

add_feature_importance

Add a feature importance to a dataset

add_grouping

Add a cell grouping to a dataset

add_linear_trajectory

Constructs a linear trajectory using pseudotime values

add_prior_information

Add or compute prior information for a trajectory

add_pseudotime

Add or calculate pseudotime as distance from the root

add_regulatory_network

Add a GRN to a dynwrap object

add_root

Root the trajectory

add_tde_overall

Add information on overall differentially expressed features

add_timings

Add timings to a trajectory

add_trajectory

Construct a trajectory given its milestone network and milestone perce...

add_waypoints

Add or create waypoints to a trajectory

calculate_attraction

Calculate the attraction of cells to other cells using velocity

calculate_average

Calculate average values of a matrix

calculate_geodesic_distances

Calculate geodesic distances between cells in a trajectory

calculate_trajectory_dimred

Layout the trajectory and its cells in 2 dimensions using a graph layo...

classify_milestone_network

Classify a milestone network

common_param

Common param

convert_definition

Convert a definition loaded in from a yaml

convert_milestone_percentages_to_progressions

Conversion between milestone percentages and progressions

convert_progressions_to_milestone_percentages

Conversion between milestone percentages and progressions

create_ti_method_container

Create a TI method from a docker / singularity container

create_ti_method_definition

Create a TI method from a local method definition file

create_ti_method_r

Create a TI method from an R function wrapper

def_author

Meta information on an author

def_container

Meta information on the container in which the wrapper resides

def_manuscript

Meta information on the manuscript

def_method

Define meta information on the TI method.

def_package

Meta information on the package in which the TI function resides

def_parameters

Meta information on the parameters of the TI method

def_wrapper

Meta information on the wrapper

definition

Create a definition

dot-method_process_definition

Method process definition

dynwrap

Inferring and adapting single-cell trajectories

flip_edges

Flip a set of edges of the milestone network

project_trajectory

Project a trajectory onto a dimensionality reduction

project_waypoints

Project waypoints of a trajectory (e.g. milestones) into a space defin...

random_seed

Generate a random seed

reexports

Objects exported from other packages

simplify_igraph_network

Simplify an igraph network such that consecutive linear edges are remo...

simplify_trajectory

Simplify a trajectory by removing transient milestones

wrap_data

A data wrapper for datasets and trajectories

wrap_expression

Create a wrapper object with expression and counts

Provides functionality to infer trajectories from single-cell data, represent them into a common format, and adapt them. Other biological information can also be added, such as cellular grouping, RNA velocity and annotation. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.

  • Maintainer: Robrecht Cannoodt
  • License: MIT + file LICENSE
  • Last published: 2023-07-19