This function uses STRING-api. The outcome of STRING analysis
 will be stored in comma-separated values files.

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

PPI function

<dl><dt>data</dt>
<dd>A gene list.</dd>
<dt>FileName</dt>
<dd>A string vector showing the name to be used to save the
resulted table. If null, no file will be exported</dd>
<dt>species</dt>
<dd>The taxonomy name/id. Default is "9606" for Homo sapiens.</dd></dl>

Arguments

Defining protein-protein interactions (PPI) over a list of genes, — PPI

<dl>

<dt>data</dt>
<dd>A gene list.</dd>


<dt>FileName</dt>
<dd>A string vector showing the name to be used to save the
resulted table. If null, no file will be exported</dd>


<dt>species</dt>
<dd>The taxonomy name/id. Default is "9606" for Homo sapiens.</dd>

</dl>

PPI: Defining protein-protein interactions (PPI) over a list of genes,

Description

Usage

Value

Arguments