CreateConvolutionTable

Create Convolution Table from a Seurat object

Nucleotide conversion sequencing experiments have been
developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such
experiments require specialized tools for primary processing such as GRAND-SLAM,
(see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for
downstream analyses. 'grandR' provides a comprehensive toolbox for quality control,
kinetic modeling, differential gene expression analysis and visualization of such data.
Fast Wilcoxon tests are supported via the 'presto' package (available at <https://github.com/immunogenomics/presto>).

Florian Erhard

grandR

Comprehensive Analysis of Nucleotide Conversion Sequencing Data

Teresa Rummel

Julian Selke

CreateConvolutionTable function

<dl><dt>data</dt>
<dd>a Seurat object</dd>
<dt>n.neighbors</dt>
<dd>the number of neighbors to be convoluted</dd>
<dt>group.column</dt>
<dd>character specifying a column to split data by or NULL (see details)</dd>
<dt>...</dt>
<dd>additional parameters for FindNeighbors</dd></dl>

Arguments

Create Convolution Table from a Seurat object — CreateConvolutionTable

<dl>

<dt>data</dt>
<dd>a Seurat object</dd>


<dt>n.neighbors</dt>
<dd>the number of neighbors to be convoluted</dd>


<dt>group.column</dt>
<dd>character specifying a column to split data by or NULL (see details)</dd>


<dt>...</dt>
<dd>additional parameters for FindNeighbors</dd>

</dl>

CreateConvolutionTable: Create Convolution Table from a Seurat object

Description

Usage

Value

Arguments

Details