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A multiple genomic data fused SF2 prediction model, signature identification, and gene regulatory network inference for personalized radiotherapy
Radiotherapy is one of the most important cancer treatments, but its response varies greatly among individual patients. Therefore, the prediction of radiosensitivity, identification of potential signature genes, and inference of their regulatory networks are important for clinical and oncological re...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225787/ https://www.ncbi.nlm.nih.gov/pubmed/32329416 http://dx.doi.org/10.1177/1533033820909112 |