Single-center versus multi-center data sets for molecular prognostic modeling: a simulation study

BACKGROUND: Prognostic models based on high-dimensional omics data generated from clinical patient samples, such as tumor tissues or biopsies, are increasingly used for prognosis of radio-therapeutic success. The model development process requires two independent discovery and validation data sets....

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Detalles Bibliográficos
Autores principales: Samaga, Daniel, Hornung, Roman, Braselmann, Herbert, Hess, Julia, Zitzelsberger, Horst, Belka, Claus, Boulesteix, Anne-Laure, Unger, Kristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227093/
https://www.ncbi.nlm.nih.gov/pubmed/32410693
http://dx.doi.org/10.1186/s13014-020-01543-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227093/
https://www.ncbi.nlm.nih.gov/pubmed/32410693
http://dx.doi.org/10.1186/s13014-020-01543-1

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