Identifying key genes in cancer networks using persistent homology

Identifying key genes in cancer networks using persistent homology

Abstract Identifying driver genes is crucial for understanding oncogenesis and developing targeted cancer therapies. Driver discovery methods using protein or pathway networks rely on traditional network science measures, focusing on nodes, edges, or community metrics. These methods can overlook the...

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Bibliographic Details
Main Authors: Rodrigo Henrique Ramos, Yago Augusto Bardelotte, Cynthia de Oliveira Lage Ferreira, Adenilso Simao
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Topological data analysis
Persistent homology
Cancer genomics
Driver genes
Pathways networks
Protein networks
Online Access:https://doi.org/10.1038/s41598-025-87265-4
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https://doi.org/10.1038/s41598-025-87265-4

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