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A weighting approach for judging the effect of patient strata on high-dimensional risk prediction signatures
BACKGROUND: High-dimensional molecular measurements, e.g. gene expression data, can be linked to clinical time-to-event endpoints by Cox regression models and regularized estimation approaches, such as componentwise boosting, and can incorporate a large number of covariates as well as provide variab...
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| I publikationen: | BMC Bioinformatics |
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| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4572441/ https://ncbi.nlm.nih.gov/pubmed/26374641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0716-8 |
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