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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Detalles Bibliográficos
Autores principales: Klau, Simon, Jurinovic, Vindi, Hornung, Roman, Herold, Tobias, Boulesteix, Anne-Laure
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134797/
https://www.ncbi.nlm.nih.gov/pubmed/30208855
http://dx.doi.org/10.1186/s12859-018-2344-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134797/
https://www.ncbi.nlm.nih.gov/pubmed/30208855
http://dx.doi.org/10.1186/s12859-018-2344-6

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