data.apply

Internal function to apply functions to all slots etc.

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

data.apply function

<dl><dt>data</dt>
<dd>a grandR object</dd>
<dt>fun</dt>
<dd>apply this function to each data slot (i.e. it receives each data matrix)</dd>
<dt>fun.gene.info</dt>
<dd>apply this function to the gene info table</dd>
<dt>fun.coldata</dt>
<dd>apply this function to the column annotation table</dd>
<dt>...</dt>
<dd>passed further to fun, fun.gene.info and fun.coldata</dd></dl>

Arguments

Internal function to apply functions to all slots etc. — data.apply

<dl>

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


<dt>fun</dt>
<dd>apply this function to each data slot (i.e. it receives each data matrix)</dd>


<dt>fun.gene.info</dt>
<dd>apply this function to the gene info table</dd>


<dt>fun.coldata</dt>
<dd>apply this function to the column annotation table</dd>


<dt>...</dt>
<dd>passed further to fun, fun.gene.info and fun.coldata</dd>

</dl>

data.apply: Internal function to apply functions to all slots etc.

Description

Usage

Value

Arguments

Details