Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes

The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide association studies (GWAS) would identify groups of pati...

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Detalles Bibliográficos
Autores principales: Oh, Jung Hun, Kerns, Sarah, Ostrer, Harry, Powell, Simon N., Rosenstein, Barry, Deasy, Joseph O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324069/
https://www.ncbi.nlm.nih.gov/pubmed/28233873
http://dx.doi.org/10.1038/srep43381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324069/
https://www.ncbi.nlm.nih.gov/pubmed/28233873
http://dx.doi.org/10.1038/srep43381

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