estimate.dispersion

Estimate dispersion parameters for a count matrix using DESeq2

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

estimate.dispersion function

<dl><dt>ss</dt>
<dd>the count matrix</dd></dl>

Arguments

Estimate dispersion parameters for a count matrix using DESeq2 — estimate.dispersion

<dl>

<dt>ss</dt>
<dd>the count matrix</dd>

</dl>

estimate.dispersion: Estimate dispersion parameters for a count matrix using DESeq2

Description

Usage

Value

Arguments