jonas-hag/prioritylasso: Analyzing Multiple Omics Data with an Offset Approach

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>.

Getting started

Package details

AuthorSimon Klau, Roman Hornung, Alina Bauer, Jonas Hagenberg
MaintainerRoman Hornung <hornung@ibe.med.uni-muenchen.de>
LicenseGPL-2
Version0.3.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jonas-hag/prioritylasso")
jonas-hag/prioritylasso documentation built on April 16, 2023, 9:21 p.m.