Performs CANDECOMP/PARAFAC (CP) Tensor Decomposition

Generate weight-averaged denoised gene regulatory networks using CANDECOMP/PARAFAC (CP) Tensor Decomposition

Usage

tensorDecomposition(
  xList,
  yList = NULL,
  nDecimal = 1,
  K = 5,
  maxError = 1e-05,
  maxIter = 1000
)

Arguments

xList

A list of gene regulatory networks

yList

Optional. A list of gene regulatory networks

nDecimal

An integer value indicating the number of decimal places to be used

K

The number of rank-one tensors used to approximate the data

maxError

A decimal value between 0 and 1. Defines the relative Frobenius norm error tolerance

maxIter

An integer value. Defines the maximum number of iterations

Value

A list of weight-averaged denoised gene regulatory networks