Predictive mutation signature of immunotherapy benefits in NSCLC based on machine learning algorithms

BACKGROUND: Developing prediction tools for immunotherapy approaches is a clinically important and rapidly emerging field. The routinely used prediction biomarker is inaccurate and may not adequately utilize large amounts of medical data. Machine learning is a promising way to predict the benefit of...

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Detalles Bibliográficos
Autores principales: Liu, Zhichao, Lin, Guo, Yan, Zeping, Li, Linduo, Wu, Xingchen, Shi, Jingrong, He, Jianxing, Zhao, Lei, Liang, Hengrui, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552174/
https://www.ncbi.nlm.nih.gov/pubmed/36238300
http://dx.doi.org/10.3389/fimmu.2022.989275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552174/
https://www.ncbi.nlm.nih.gov/pubmed/36238300
http://dx.doi.org/10.3389/fimmu.2022.989275

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