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Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data
BACKGROUND: The inclusion of high-dimensional omics data in prediction models has become a well-studied topic in the last decades. Although most of these methods do not account for possibly different types of variables in the set of covariates available in the same dataset, there are many such scena...
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| Publicat a: | BMC Bioinformatics |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6134797/ https://ncbi.nlm.nih.gov/pubmed/30208855 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2344-6 |
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