flip_edges

Note that this will remove associated roots, reroot the trajectory using <code>add_root()</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

<dl><dt>trajectory</dt>
<dd>The trajectory as created by <code>infer_trajectory()</code> or <code>add_trajectory()</code></dd>
<dt>milestone_network_toflip</dt>
<dd>A dataframe with a from and to column, containing the subset of the milestone network #'</dd></dl>

Arguments

Flip a set of edges of the milestone network — flip_edges

<dl>

<dt>trajectory</dt>
<dd>The trajectory as created by <code>infer_trajectory()</code> or <code>add_trajectory()</code></dd>


<dt>milestone_network_toflip</dt>
<dd>A dataframe with a from and to column, containing the subset of the milestone network #'</dd>

</dl>

flip_edges: Flip a set of edges of the milestone network

Description

Usage

Value

Arguments