multipls_loading {loadings} | R Documentation |
Multiset partial least squares loading
Description
This function computes multiset partial least squares (PLS) loading from the result of the "multipls_geigen" function.
Usage
multipls_loading(multipls)
Arguments
multipls |
The following variables (P,T,Q and U) are included in the multipls object. P : A list of matrix with Multiset PLS coefficients for the explanatory variables in each column for each dataset T : A list of matrix with Multiset PLS scores for the explanatory variables in each column for each dataset Q : A matrix with Multiset PLS coefficients for the response variable in each column U : A matrix with Multiset PLS scores for the response variable in each column tau : Matrix for strength parameter of the connection between omics datasets or between omics dataset and group information. |
Details
The multiset PLS loading and the p-value by statistical hypothesis testing is added to the multipls object returned by the "multipls_geigen" function in this package.
Value
The return value is a list object that contains the following elements:
Score : A list of matrix with Multiset PLS score for auxiliary variable in each column for each dataset
R : A list of matrix with Multiset PLS loadings in each column for each dataset
p.value : A list of matrix with p-value of multiset PLS loading in each column for each dataset
Author(s)
Hiroyuki Yamamoto
References
Yamamoto H. (2022) Multiset partial least squares with rank order of groups for integrating multi-omics data, bioRxiv.
Examples
data(whhl)
X <- whhl$X
Y <- whhl$Y
tau <- whhl$tau
multipls <- multipls_geigen(X,Y,tau)
multipls <- multipls_loading(multipls)
multipls$loading$R
multipls$loading$p.value