Publication
Graph neural network-based risk stratification of prostate cancer using gene expression and SHAP interpretability.
Saeed Pirmoradi, Sevil Vaghefi Moghaddam, Mohammadreza Ardalan, Mir Mohsen Sharifi Bonab, Mohammad Teshnehlab, Sepideh Zununi Vahed
- Source
- PubMed
- Retrieved
- Sep 9, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260909-000004
Abstract
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Accurate risk stratification is essential for guiding treatment decisions and preventing over treatment of prostate cancer, which remains one of the most prevalent cancers among adult men. While the Gleason score, obtained from prostate biopsies, is routinely used to assess tumor aggressiveness,…
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- cancerMalignant Prostate Neoplasmdictionary0.60
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