ComputeColumnStatistics

Compute statistics for all columns (i.e. samples or cells)

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.

Florian Erhard

grandR

Comprehensive Analysis of Nucleotide Conversion Sequencing Data

Teresa Rummel

Lygeri Sakellaridi

Kevin Berg

ComputeColumnStatistics function

<dl><dt>data</dt>
<dd>a grandR object</dd>
<dt>verbose</dt>
<dd>output status messages</dd></dl>

Arguments

Compute statistics for all columns (i.e. samples or cells) — ComputeColumnStatistics

<dl>

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


<dt>verbose</dt>
<dd>output status messages</dd>

</dl>

ComputeColumnStatistics: Compute statistics for all columns (i.e. samples or cells)

Description

Usage

Value

Arguments