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Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
Motivation: Technological advances that allow routine identification of high-dimensional risk factors have led to high demand for statistical techniques that enable full utilization of these rich sources of information for genetics studies. Variable selection for censored outcome data as well as con...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4757968/ https://ncbi.nlm.nih.gov/pubmed/26382192 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv517 |
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