ComputeNonConstantParam

EvaluateNonConstantParam

For simplicity, non constant rates here have the following form $o+f*t^e$.

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

ComputeNonConstantParam function

<dl><dt>start</dt>
<dd>the value at t=0</dd>
<dt>end</dt>
<dd>the value at t=end.time</dd>
<dt>exponent</dt>
<dd>the exponent (e above)</dd>
<dt>end.time</dt>
<dd>the end time</dd>
<dt>t</dt>
<dd>vector of times</dd>
<dt>param</dt>
<dd>output of <code>ComputeNonConstantParam()</code>, only a single row!</dd></dl>

Arguments

<ul>
<li><code>ComputeNonConstantParam()</code>: compute a data frame containing the parameters for non constant rates</li>
<li><code>EvaluateNonConstantParam()</code>: compute a data frame containing the rates for the given parameter set (computed from <code>ComputeNonConstantParam</code>)</li>
</ul>

Functions

Compute and evaluate functions for non constant rates — ComputeNonConstantParam

<dl>

<dt>start</dt>
<dd>the value at t=0</dd>


<dt>end</dt>
<dd>the value at t=end.time</dd>


<dt>exponent</dt>
<dd>the exponent (e above)</dd>


<dt>end.time</dt>
<dd>the end time</dd>


<dt>t</dt>
<dd>vector of times</dd>


<dt>param</dt>
<dd>output of <code>ComputeNonConstantParam()</code>, only a single row!</dd>

</dl>

ComputeNonConstantParam: Compute and evaluate functions for non constant rates

Description

Usage

Value

Arguments

Functions