flip_edges

The trajectory as created by <code><a rd-options="=infer_trajectory" href="/link/infer_trajectory()?package=dynwrap&version=1.2.1&to=%3Dinfer_trajectory" data-mini-rdoc="=infer_trajectory::infer_trajectory()">infer_trajectory()</a></code> or <code><a rd-options="=add_trajectory" href="/link/add_trajectory()?package=dynwrap&version=1.2.1&to=%3Dadd_trajectory" data-mini-rdoc="=add_trajectory::add_trajectory()">add_trajectory()</a></code>

trajectory

A dataframe with a from and to column, containing the subset of the milestone network #'

milestone_network_toflip

Note that this will remove associated roots, reroot the trajectory using <code><a rd-options="=add_root" href="/link/add_root()?package=dynwrap&version=1.2.1&to=%3Dadd_root" data-mini-rdoc="=add_root::add_root()">add_root()</a></code>

adapt_trajectory

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>.

Robrecht Cannoodt

dynwrap

Representing and Inferring Single-Cell Trajectories

Wouter Saelens

flip_edges function

The trajectory as created by <code><a rd-options='=infer_trajectory' href='infer_trajectory()'>infer_trajectory()</a></code> or <code><a rd-options='=add_trajectory' href='add_trajectory()'>add_trajectory()</a></code>

Note that this will remove associated roots, reroot the trajectory using <code><a rd-options='=add_root' href='add_root()'>add_root()</a></code>

flip_edges: Flip a set of edges of the milestone network

Description

Usage

Arguments