add_feature_importance

is_wrapper_with_feature_importance

Add a feature importance to a dataset

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

add_feature_importance function

<dl><dt>dataset</dt>
<dd>A dataset created by <code>wrap_data()</code> or <code>wrap_expression()</code></dd>
<dt>feature_importance</dt>
<dd>The impotances of the features, can be a named vector or a dataframe with columns feature_id and importance</dd>
<dt>...</dt>
<dd>Extra information to be stored in the dataset</dd></dl>

Arguments

Add a feature importance to a dataset — add_feature_importance

<dl>

<dt>dataset</dt>
<dd>A dataset created by <code>wrap_data()</code> or <code>wrap_expression()</code></dd>


<dt>feature_importance</dt>
<dd>The impotances of the features, can be a named vector or a dataframe with columns feature_id and importance</dd>


<dt>...</dt>
<dd>Extra information to be stored in the dataset</dd>

</dl>

add_feature_importance: Add a feature importance to a dataset

Description

Usage

Value

Arguments

Examples