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Interpretable Multi-Cancer Early Detection Using SHAP-Based Machine Learning on Tumor-Educated Platelet RNA

<b>Background</b>: Tumor-educated platelets (TEPs) represent a promising biosource for non-invasive multi-cancer early detection (MCED). While machine learning (ML) has been applied to TEP data, the integration of explainability to reveal gene-level contributions and regulatory associations remains...

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Autori principali: Maryam Hajjar, Ghadah Aldabbagh, Somayah Albaradei
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-09-01
Serie:Diagnostics
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Accesso online:https://www.mdpi.com/2075-4418/15/17/2216
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