AI cancer driver mutation predictions are valid in real-world data

Abstract Characterizing and validating which mutations influence development of cancer is challenging. Artificial intelligence (AI) has delivered significant advances in protein structure prediction, but its utility for identifying cancer drivers is less explored. We evaluate multiple computational...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Nature Communications
المؤلفون الرئيسيون: Thinh N. Tran, Chris Fong, Karl Pichotta, Anisha Luthra, Ronglai Shen, Yuan Chen, Michele Waters, Susie Kim, Xiang Li, Ino de Bruijn, Gregory Riely, Michael F. Berger, Marc Ladanyi, Debyani Chakravarty, Nikolaus Schultz, Justin Jee
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-09-01
الوصول للمادة أونلاين:https://doi.org/10.1038/s41467-025-63461-8

الانترنت

https://doi.org/10.1038/s41467-025-63461-8

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