visualize_network

Plots a network with nodes represented by pie charts that display male and female effects.

Tools to analyze sex differences in omics data for complex diseases. It includes functions for differential expression analysis using the 'limma' method <doi:10.1093/nar/gkv007>, interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' <doi:10.1089/omi.2011.0118>, and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.

Enrico Glaab

XYomics

Analysis of Sex Differences in Omics Data for Complex Diseases

Sophie Le Bars

Mohamed Soudy

Murodzhon Akhmedov

visualize_network function

<dl><dt>g</dt>
<dd>An igraph network object.</dd>
<dt>female_res</dt>
<dd>Differential expression results for females.</dd>
<dt>male_res</dt>
<dd>Differential expression results for males.</dd>
<dt>vertex.size</dt>
<dd>Size of the network nodes.</dd>
<dt>vertex.label.cex</dt>
<dd>Text size for vertex labels.</dd>
<dt>...</dt>
<dd>Additional graphical parameters.</dd></dl>

Arguments

Visualize Gene Regulatory Network with Pie Charts — visualize_network

<dl>

<dt>g</dt>
<dd>An igraph network object.</dd>


<dt>female_res</dt>
<dd>Differential expression results for females.</dd>


<dt>male_res</dt>
<dd>Differential expression results for males.</dd>


<dt>vertex.size</dt>
<dd>Size of the network nodes.</dd>


<dt>vertex.label.cex</dt>
<dd>Text size for vertex labels.</dd>


<dt>...</dt>
<dd>Additional graphical parameters.</dd>

</dl>

visualize_network: Visualize Gene Regulatory Network with Pie Charts

Description

Usage

Value

Arguments