NetAnalysis

This function checks the connectivity degree and the betweenness
 centrality, which reflect the communication flow in the defined PPI
 networks

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

NetAnalysis function

<dl><dt>data</dt>
<dd>Protein-protein interaction data frame resulted from running the
PPI function.</dd>
<dt>export</dt>
<dd>if `TRUE`, exports the analysis table as a csv file</dd>
<dt>FileName</dt>
<dd>suffix for the file name (if export = TRUE)</dd></dl>

Arguments

Networking analysis. — NetAnalysis

<dl>

<dt>data</dt>
<dd>Protein-protein interaction data frame resulted from running the
PPI function.</dd>


<dt>export</dt>
<dd>if `TRUE`, exports the analysis table as a csv file</dd>


<dt>FileName</dt>
<dd>suffix for the file name (if export = TRUE)</dd>

</dl>

NetAnalysis: Networking analysis.

Description

Usage

Value

Arguments