Multivariate piecewise linear regression model to predict radiosensitivity using the association with the genome-wide copy number variation

INTRODUCTION: The search for biomarkers to predict radiosensitivity is important not only to individualize radiotherapy of cancer patients but also to forecast radiation exposure risks. The aim of this study was to devise a machine-learning method to stratify radiosensitivity and to investigate its...

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Detalles Bibliográficos
Autores principales: Tobiasz, Joanna, Al-Harbi, Najla, Bin Judia, Sara, Majid Wakil, Salma, Polanska, Joanna, Alsbeih, Ghazi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577171/
https://www.ncbi.nlm.nih.gov/pubmed/37849808
http://dx.doi.org/10.3389/fonc.2023.1154222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577171/
https://www.ncbi.nlm.nih.gov/pubmed/37849808
http://dx.doi.org/10.3389/fonc.2023.1154222

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