GenePioneer: A Comprehensive Python Package for Identification of Essential Genes and Modules in Cancer

Abstract excerpt

<h4>Summary</h4> We propose a network-based unsupervised learning model to identify essential cancer genes and modules for 12 different cancer types, supported by a Python package for practical application. The model constructs a gene network from frequently mutated genes and biological processes, ranks genes using topological features, and detects critical modules. Evaluation across cancer types confirms its eff...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• Computational Biology
• Disease
• Gene Expression Profiling
• Gene Regulatory Networks
• Models, Biological
• Protein Interaction Maps
• Quantitative Trait Loci

Identifiers and source

Literature Corpus work

dafa3c4d-3205-5330-9a71-6be621fe13f5

DOI

10.1101/2024.12.16.628633