Priority-LASSO (Klau et al., 2018) fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block. Also offers options to deal with block-wise missingness in multi-omics data. Reference: Klau, S., Jurinovic, V., Hornung, R., Herold, T., Boulesteix, A.-L. (2018) Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. BMC Bioinformatics 19:322, <doi:10.1186/s12859-018-2344-6>.
Package details |
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Author | Simon Klau, Roman Hornung, Alina Bauer, Jonas Hagenberg |
Maintainer | Roman Hornung <hornung@ibe.med.uni-muenchen.de> |
License | GPL-2 |
Version | 0.3.2 |
Package repository | View on GitHub |
Installation |
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