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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2017
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| Materias: | |
| 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 |