ref_probe_selection_pairwiseGlmnet_cv: Pairwise elastic net modeling feature selection

In jysonganan/methylDeConv: Computational pipeline for deconvolution of methylation data.

Pairwise elastic net modeling feature selection

Description

Select the non-zero features from the pairwise elastic net modeling on the reference matrix.

Usage

ref_probe_selection_pairwiseGlmnet_cv(
  ref_betamatrix,
  ref_phenotype,
  nCores = 4,
  reps.resamp = 5,
  reps.repeats = 3
)

Arguments

ref_betamatrix	The reference matrix ref_betamatrix.
ref_phenotype	The cell type information for the reference matrix.
nCores	Number of parallel cores. Default value is 4.
reps.resamp	The number of folds in k-fold cross-validation. Default value is 5.
reps.repeats	The number of complete sets of folds to compute. Default value is 3.

Value

A vector of the selected probes.

jysonganan/methylDeConv documentation built on Aug. 8, 2022, 6:25 a.m.