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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Mary Ann Liebert, Inc.
2016
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| Materias: | |
| 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 |