ref_probe_selection_oneVsAllLimma: One-vs-All moderated t test feature selection

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

One-vs-All moderated t test feature selection

Description

The moderated One-vs-All t test feature selection based on the reference matrix.

Usage

ref_probe_selection_oneVsAllLimma(
  ref_betamatrix,
  ref_phenotype,
  probeSelect = "both",
  FDR = 1e-06,
  MaxDMRs = 100
)

Arguments

ref_betamatrix	The reference matrix ref_betamatrix.
ref_phenotype	The cell type information for the reference matrix.
probeSelect	The selection can be "any" or "both". If "any", the function selects top probes regardless of up-regulation or down-regulation. If "both", half of top probes are picked up from the up-regulated probes while the other half of the top probes are picked up from the down-regulated probes. Default value is "both".
FDR	The fdr threshold with default value as 1e-6
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.