QuantileCentering: Normalisation QuantileCentering

In samWieczorek/DAPAR: Tools for the Differential Analysis of Proteins Abundance with R

Normalisation QuantileCentering

Description

Normalisation QuantileCentering

Usage

QuantileCentering(
  qData,
  conds = NULL,
  type = "overall",
  subset.norm = NULL,
  quantile = 0.15
)

Arguments

qData	xxx
conds	xxx
type	"overall" (shift all the sample distributions at once) or "within conditions" (shift the sample distributions within each condition at a time).
subset.norm	A vector of index indicating rows to be used for normalization
quantile	A float that corresponds to the quantile used to align the data.

Value

A normalized numeric matrix

Author(s)

Samuel Wieczorek, Thomas Burger, Helene Borges, Anais Courtier, Enora Fremy

Examples

utils::data(Exp1_R25_pept, package='DAPARdata')
obj <- Exp1_R25_pept
conds <- Biobase::pData(Exp1_R25_pept)$Condition
normalized <- QuantileCentering(Biobase::exprs(obj), conds, 
type="within conditions", subset.norm=1:10)

samWieczorek/DAPAR documentation built on May 6, 2022, 5:30 p.m.