OmicsPLS
OmicsPLS is designed for integrating two high dimensional datasets, visualise relationships between the features and inspect groupings across subjects. The OmicsPLS package can be applied in many fields, in particular life sciences.
See also:
- The CRAN homepage
- Its GitHub repository
- A vignette with biological data as example of omics data integration
Using the package for your article?
Please cite this paper:
el Bouhaddani, S., Uh, H. W., Jongbloed, G., Hayward, C., Klarić, L., Kiełbasa, S. M., & Houwing-Duistermaat, J. (2018). Integrating omics datasets with the OmicsPLS package. BMC Bioinformatics, 19(1).
PO2PLS
Probabilistic O2PLS (PO2PLS) is a reformulation of O2PLS and an extension of Probabilistic PLS, that describes the relation between all predictors and response variables using joint and specific latent variables. The set of predictors and responses are potentially high dimensional, where the number of variables exceed the sample size, and highly correlated, both within and between the sets of variables.
See also
- The GitHub repository, use the o2m_style branch for the latest updates
- Interested in Probabilistic PLS (article in JMVA)? Use PO2PLS without specific parts for the latest algorithm.
When can I expect the article?
We are working on it…