plot_clustering

Plot STRING interactions degree vs. clustering.

Designed for genomic and proteomic data analysis, enabling unbiased PubMed searching, protein interaction network visualization, and comprehensive data summarization. This package aims to help users identify novel targets within their data sets based on protein network interactions and publication precedence of target's association with research context based on literature precedence. Methods in this package are described in detail in: Douglas (Year) <to-be-added DOI or link to the preprint>. Key functionalities of this package also leverage methodologies from previous works, such as:
- Szklarczyk et al. (2023) <doi:10.1093/nar/gkac1000>
- Winter (2017) <doi:10.32614/RJ-2017-066>.

Cameron Douglas

DeSciDe

Tool for Unbiased Literature Searching and Gene List Curation

plot_clustering function

<dl><dt>string_results</dt>
<dd>Data frame with STRING metrics.</dd>
<dt>file_directory</dt>
<dd>Directory for saving the output plot. Defaults to NULL.</dd>
<dt>export</dt>
<dd>Logical indicating whether to export the plot. Defaults to FALSE.</dd></dl>

Arguments

Plot STRING Interactions — plot_clustering

<dl>

<dt>string_results</dt>
<dd>Data frame with STRING metrics.</dd>


<dt>file_directory</dt>
<dd>Directory for saving the output plot. Defaults to NULL.</dd>


<dt>export</dt>
<dd>Logical indicating whether to export the plot. Defaults to FALSE.</dd>

</dl>

plot_clustering: Plot STRING Interactions

Description

Usage

Value

Arguments

Examples