Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors

The response rate of cancer immune checkpoint inhibitors (ICI) varies among patients, making it challenging to pre-determine whether a particular patient will respond to immunotherapy. While gene mutation is critical to the treatment outcome, a framework capable of explicitly incorporating biology k...

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Detalles Bibliográficos
Autores principales: Liu, Junyan, Islam, Md Tauhidul, Sang, Shengtian, Qiu, Liang, Xing, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628135/
https://www.ncbi.nlm.nih.gov/pubmed/37932419
http://dx.doi.org/10.1038/s41698-023-00468-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628135/
https://www.ncbi.nlm.nih.gov/pubmed/37932419
http://dx.doi.org/10.1038/s41698-023-00468-8

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