Unbiased Prediction and Feature Selection in High-Dimensional Survival Regression

With widespread availability of omics profiling techniques, the analysis and interpretation of high-dimensional omics data, for example, for biomarkers, is becoming an increasingly important part of clinical medicine because such datasets constitute a promising resource for predicting survival outco...

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Detalles Bibliográficos
Autores principales: Laimighofer, Michael, Krumsiek, Jan, Buettner, Florian, Theis, Fabian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2016
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827277/
https://www.ncbi.nlm.nih.gov/pubmed/26894327
http://dx.doi.org/10.1089/cmb.2015.0192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827277/
https://www.ncbi.nlm.nih.gov/pubmed/26894327
http://dx.doi.org/10.1089/cmb.2015.0192

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