scores.plsda

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.

Kai Guo

o2plsda

Multiomics Data Integration

Junguk Hur

Eva Feldman

scores.plsda function

<dl><dt>x</dt>
<dd>Object of class <code>plsda</code></dd>
<dt>...</dt>
<dd>Other arguments</dd></dl>

Arguments

Author

Extract the scores PLSDA analysis — scores.plsda

<dl>

<dt>x</dt>
<dd>Object of class <code>plsda</code></dd>


<dt>...</dt>
<dd>Other arguments</dd>

</dl>

scores.plsda: Extract the scores PLSDA analysis

Description

Usage

Value

Arguments

Author