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>. It also performs Sparse Group (Penalized) O2PLS, see Gu et al (2020) <doi:10.1186/s12859-021-03958-3> and cross-validation for the degree of sparsity.

Package details

AuthorSaid el Bouhaddani, Zhujie Gu, Jeanine Houwing-Duistermaat, Geurt Jongbloed, Szymon Kielbasa and Hae-Won Uh
MaintainerSaid el Bouhaddani <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the OmicsPLS package in your browser

Any scripts or data that you put into this service are public.

OmicsPLS documentation built on May 19, 2021, 5:08 p.m.