Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data

Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data

Abstract 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 su...

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Bibliographic Details
Main Authors: Simon Klau, Vindi Jurinovic, Roman Hornung, Tobias Herold, Anne-Laure Boulesteix
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Bioinformatics
Subjects:
Cox regression
Lasso
Multi-omics data
Penalized regression
Prediction model
Priority-lasso
Online Access:http://link.springer.com/article/10.1186/s12859-018-2344-6

Internet

http://link.springer.com/article/10.1186/s12859-018-2344-6

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