GNNMutation: a heterogeneous graph-based framework for cancer detection

Abstract Background When genes are translated into proteins, mutations in the gene sequence can lead to changes in protein structure and function as well as in the interactions between proteins. These changes can disrupt cell function and contribute to the development of tumors. In this study, we in...

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Hauptverfasser: Nuriye Özlem Özcan Şimşek, Arzucan Özgür, Fikret Gürgen
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-06-01
Schriftenreihe:BMC Bioinformatics
Schlagworte:
Dna mutations
Protein-protein interactions
Graph neural networks
Explainer
Cancer detection
Causal genes
Online Zugang:https://doi.org/10.1186/s12859-025-06133-0
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