def_author

create_ti_method

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

def_author function

<dl><dt>given</dt>
<dd>The given name</dd>
<dt>family</dt>
<dd>The family name</dd>
<dt>email</dt>
<dd>The email address</dd>
<dt>github</dt>
<dd>The github handle</dd>
<dt>orcid</dt>
<dd>The orcid id</dd></dl>

Arguments

Meta information on an author — def_author

<dl>

<dt>given</dt>
<dd>The given name</dd>


<dt>family</dt>
<dd>The family name</dd>


<dt>email</dt>
<dd>The email address</dd>


<dt>github</dt>
<dd>The github handle</dd>


<dt>orcid</dt>
<dd>The orcid id</dd>

</dl>

def_author: Meta information on an author

Description

Usage

Arguments

Examples