GeneList-class

A class to hold annotated gene list for a single method.

The workflow is a versatile R package designed for comprehensive feature selection in bulk RNAseq datasets. Its key innovation lies in the seamless integration of the 'Python' 'scikit-learn' (<https://scikit-learn.org/stable/index.html>) machine learning framework with R-based bioinformatics tools. 'GeneSelectR' performs robust Machine Learning-driven (ML) feature selection while leveraging 'Gene Ontology' (GO) enrichment analysis as described by Thomas PD et al. (2022) <doi:10.1002/pro.4218>, using 'clusterProfiler' (Wu et al., 2021) <doi:10.1016/j.xinn.2021.100141> and semantic similarity analysis powered by 'simplifyEnrichment' (Gu, Huebschmann, 2021) <doi:10.1016/j.gpb.2022.04.008>. This combination of methodologies optimizes computational and biological insights for analyzing complex RNAseq datasets.

Damir Zhakparov

GeneSelectR

'GeneSelectR' - Comprehensive Feature Selection Workflow for
Bulk RNAseq Datasets

GeneList-class function

<dl>
<dt><code>SYMBOL</code></dt>
<dd>A character vector of gene names.</dd></dl>
<dt><code>ENSEMBL</code></dt>
<dd>A character vector of Ensembl IDs.</dd>
<dt><code>ENTREZID</code></dt>
<dd>A character vector of Entrez IDs.</dd>

Slots

GeneList class — GeneList-class

<dl>
<dt><code>SYMBOL</code></dt>
<dd>A character vector of gene names.</dd>


<dt><code>ENSEMBL</code></dt>
<dd>A character vector of Ensembl IDs.</dd>


<dt><code>ENTREZID</code></dt>
<dd>A character vector of Entrez IDs.</dd>


</dl>

GeneList-class: GeneList class

Description

Arguments

Slots