multiplsrog_loading {loadings}

Multiset partial least squares rank order of groups loading

Description

This function computes multiset partial least squares rank order of groups (PLS-ROG) loading from the result of the "multipls_rog" function.

Usage

multiplsrog_loading(multiplsrog)

Arguments

multiplsrog

The following variables (P,T,Q and U) are included in the multiplsrog object.

P : A list of matrix with Multiset PLS-ROG coefficients for the explanatory variables in each column for each dataset

T : A list of matrix with Multiset PLS-ROG scores for the explanatory variables in each column for each dataset

Q : A matrix with Multiset PLS-ROG coefficients for the response variable in each column

U : A matrix with Multiset PLS-ROG 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-ROG loading and the p-value by statistical hypothesis testing is added to the multiplsrog object returned by the "multipls_rog" 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-ROG loadings in each column for each dataset

p.value : A list of matrix with p-value of multiset PLS-ROG 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
D <- whhl$D
tau <- whhl$tau

multiplsrog <- multipls_rog(X,Y,tau,D)
# multiplsrog <- multipls_rog(X,Y,tau,D, kappa=0.999)

multiplsrog <- multiplsrog_loading(multiplsrog)
multiplsrog$loading$R
multiplsrog$loading$p.value