multivariate_spls: Multivariate sparse partial least squares

In bhattacharya-a-bt/isoTWAS: Isoform-level transcriptome-wide association studies

Multivariate sparse partial least squares

Description

The function trains multivariate spls for all isoform transcripts jointly

Usage

multivariate_spls(
  X,
  Y,
  nfolds = 5,
  verbose = T,
  tx_names = NULL,
  par,
  n.cores,
  seed
)

Arguments

X	matrix, design matrix of SNP dosages
Y	matrix, matrix of G isoform expression across columns
nfolds	int, number of CV folds
verbose	logical
tx_names	vector, character vector of tx names in order of columns of Y
par	logical, uses mclapply to parallelize model fit
n.cores	int, number of parallel cores
seed	int, random seed

Value

spls models

bhattacharya-a-bt/isoTWAS documentation built on Jan. 9, 2025, 10:25 p.m.