ref_probe_selection_pairwiseLimma: Pairwise moderated t test feature selection

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

Pairwise moderated t test feature selection

Description

The pairwise moderated t test feature selection based on the reference matrix.

Usage

ref_probe_selection_pairwiseLimma(
  ref_betamatrix,
  ref_phenotype,
  FDR = 0.01,
  deltaBeta = 0.2,
  MaxDMRs = 100
)

Arguments

ref_betamatrix	The reference matrix ref_betamatrix.
ref_phenotype	The cell type information for the reference matrix.
FDR	The fdr threshold with default value as 0.01
deltaBeta	The threshold for the absolute mean difference. Default value is 0.2.
MaxDMRs	The number of probes selected with default value as 100.

Value

A vector of the selected probes.

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