o2plsda: Multiomics Data Integration
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.
Version: |
0.0.18 |
Imports: |
Rcpp (≥ 1.0.7), dplyr, magrittr, parallel, ggplot2, ggrepel, methods, stats |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
knitr, markdown, rmarkdown |
Published: |
2022-08-12 |
Author: |
Kai Guo [aut, cre],
Junguk Hur [aut],
Eva Feldman [aut] |
Maintainer: |
Kai Guo <guokai8 at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
Materials: |
README |
CRAN checks: |
o2plsda results |
Documentation:
Downloads:
Linking:
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