Development of a machine learning framework for radiation biomarker discovery and absorbed dose prediction

BACKGROUND: Molecular radiation biomarkers are an emerging tool in radiation research with applications for cancer radiotherapy, radiation risk assessment, and even human space travel. However, biomarker screening in genome-wide expression datasets using conventional tools is time-consuming and unde...

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Detalles Bibliográficos
Autores principales: Andersson, Björn, Langen, Britta, Liu, Peidi, Dávila López, Marcela
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/PMC10225714/
https://www.ncbi.nlm.nih.gov/pubmed/37256187
http://dx.doi.org/10.3389/fonc.2023.1156009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225714/
https://www.ncbi.nlm.nih.gov/pubmed/37256187
http://dx.doi.org/10.3389/fonc.2023.1156009

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