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Exploring Cancer Genomics with Graph Convolutional Networks: A Comparative Explainability Study with Integrated Gradients and SHAP

In the rapidly advancing field of cancer genomics, identifying new cancer genes and understanding their molecular mechanisms are essential for advancing targeted therapies and improving patient outcomes. This study explores the capability of Graph Convolutional Networks (GCNs) for integrating comple...

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Principais autores: Battula Joshit, Jillelamudi Venkata Ashok, Sammeta Chaitanya Krishna, Amilpur Santhosh
Format: Artigo
Sprog:Inglês
Udgivet: EDP Sciences 2025-01-01
Serier:BIO Web of Conferences
Fag:
shap
ig
graph convolutional networks
multiomics
interpretability
Online adgang:https://www.bio-conferences.org/articles/bioconf/pdf/2025/14/bioconf_icbbb2025_01003.pdf
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