selbouhaddani/OmicsPLS: Data Integration with Two-Way Orthogonal Partial Least Squares

Performs the O2PLS data integration method for two datasets yielding joint and data-specific parts for each dataset. The algorithm automatically switches to a memory-efficient approach to fit O2PLS to high dimensional data. It provides a rigorous and a faster alternative cross-validation method to select the number of components, as well as functions to report proportions of explained variation and to construct plots of the results. See the software article by el Bouhaddani et al (2018) <doi:10.1186/s12859-018-2371-3>, and Trygg and Wold (2003) <doi:10.1002/cem.775>.

Getting started

Package details

AuthorSaid el Bouhaddani, Jeanine Houwing-Duistermaat, Geurt Jongbloed, Szymon Kielbasa and Hae-Won Uh
MaintainerSaid el Bouhaddani <[email protected]>
LicenseGPL-3
Version1.2.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("selbouhaddani/OmicsPLS")
selbouhaddani/OmicsPLS documentation built on Aug. 2, 2019, 1:06 p.m.