prepExampleDataset

Internal function that prepares a pre-treated dataset for use in
several examples

An open, multi-algorithmic pipeline for easy, fast and efficient
analysis of cellular sub-populations and the molecular signatures that
characterize them. The pipeline consists of four successive steps: data
pre-processing, cellular clustering with pseudo-temporal ordering, defining
differential expressed genes and biomarker identification. More details on
Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements
extensions of the work published by Ghannoum et. al. (2019)
<doi:10.1101/700989>.

Waldir Leoncio

DIscBIO

A User-Friendly Pipeline for Biomarker Discovery in Single-Cell
Transcriptomics

Salim Ghannoum

Alvaro Köhn-Luque

Damiano Fantini

prepExampleDataset function

<dl><dt>dataset</dt>
<dd>Dataset used for transformation</dd>
<dt>save</dt>
<dd>save results?</dd></dl>

Arguments

Author

Prepare Example Dataset — prepExampleDataset

<dl>

<dt>dataset</dt>
<dd>Dataset used for transformation</dd>


<dt>save</dt>
<dd>save results?</dd>

</dl>

prepExampleDataset: Prepare Example Dataset

Description

Usage

Value

Arguments

Author

Details