Multiomics Data Integration
| Package name | Version | Title | Date | Size | License | |
|---|---|---|---|---|---|---|
| o2plsda | 0.0.26 | Multiomics Data Integration | Mon Dec 01 2025 | 222.41kB | GPL-3 | |
| o2plsda | 0.0.25 | Multiomics Data Integration | Thu Jul 18 2024 | 219.39kB | GPL-3 | |
| o2plsda | 0.0.22 | Multiomics Data Integration | Wed Jul 17 2024 | 219.98kB | GPL-3 | |
| o2plsda | 0.0.18 | Multiomics Data Integration | Fri Aug 12 2022 | 220.91kB | GPL-3 | |
| o2plsda | 0.0.17 | Multiomics Data Integration | Mon Jul 11 2022 | 219.72kB | GPL-3 | |
| o2plsda | 0.0.16 | Multiomics Data Integration | Fri Jul 08 2022 | 219.69kB | GPL-3 | |
| o2plsda | 0.0.15 | Multiomics Data Integration | Thu Mar 03 2022 | 219.64kB | GPL-3 | |
| o2plsda | 0.0.14 | Multiomics Data Integration | Wed Jan 05 2022 | 219.64kB | GPL-3 | |
| o2plsda | 0.0.12 | Multiomics Data Integration | Fri Nov 19 2021 | 219.87kB | GPL-3 |
Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.