loadings (version 0.5.1)

unsvmultipls_loading: Unsupervised multiset partial least squares loading

Description

This function computes unsupervised multiset partial least squares loading from the result of the "unsv_multipls" function.

Usage

unsvmultipls_loading(unsvmpls)

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 Unsupervised multiset PLS loadings in each column for each dataset

p.value : A list of matrix with p-value of Unsupervised multiset PLS loading in each column for each dataset

Arguments

unsvmpls

The following variables (P,T) are included in the unsvmpls object.

P : A list of matrix with Multiset PLS coefficients in each column for each dataset

T : A list of matrix with Multiset PLS scores in each column for each dataset

Author

Hiroyuki Yamamoto

Details

The unsupervised multiset PLS loading and the p-value by statistical hypothesis testing is added to the unsvmpls object returned by the "unsv_multipls" function in this package.

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
tau <- rbind(c(0,1/4,1/4,1/4),c(1/4,0,1/4,1/4),c(1/4,1/4,0,1/4),c(1/4,1/4,1/4,0))

unsvmpls <- unsv_multipls(X,tau)

unsvmpls <- unsvmultipls_loading(unsvmpls)
unsvmpls$loading$R
unsvmpls$loading$p.value