Resum
© 2017, Springer International Publishing AG. The application of random effect models to different radiation biomarkers, including cytogenetic, protein-based, and gene-expression based biomarkers, is discussed. Explicit case studies are provided for the latter two scenarios, in which random effect models appear especially attractive as they can cope well with the large inter-individual variation which is typical for these biomarkers.
| Idioma original | Anglès |
|---|---|
| Títol de la publicació | Trends in Mathematics |
| Pàgines | 89-94 |
| Nombre de pàgines | 5 |
| Volum | 7 |
| ISBN (electrònic) | 2297-024X |
| DOIs | |
| Estat de la publicació | Publicada - 1 de gen. 2017 |
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