multiRegression: multiRegression

In Ivis4ml/SparseSEMs: Sparse Structural Equation Models for jointly inferring Gene Regulatory Networks

Description

Ridge regression on multiple conditions

Usage

multiRegression(Xs, Ys, Sk, gamma, n, p, k, trans = FALSE)

Arguments

Xs	eQTL matrices. eQTL matrix can be matrix/list of multiple conditions
Ys	Gene expression matrices
Sk	eQTL index of genes
gamma	Hyperparameter for ridge regression
n	number of observations
p	number of genes
k	number of eQTLs
trans	if rows for sample, trans = TRUE, otherwise, trans = FALSE. Default FALSE

Value

fit List of SEM model

Bs

coefficient matrices of gene regulatory networks

fs

eQTL's coefficients w.r.t each gene

Fs

coefficient matrices of eQTL-gene effect

mu

Bias vector

sigma2

estimate of covariance in SEM

Ivis4ml/SparseSEMs documentation built on May 23, 2019, 2:43 p.m.