Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data
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Title
Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data
Authors
Keywords
Cox regression, Lasso, Multi-omics data, Penalized regression, Prediction model, Priority-lasso
Journal
BMC BIOINFORMATICS
Volume 19, Issue 1, Pages -
Publisher
Springer Nature America, Inc
Online
2018-09-12
DOI
10.1186/s12859-018-2344-6
References
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- (2010) Nicolai Meinshausen et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
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