normalize_data: Normalize quantification data

In mathiaskalxdorf/IceR: Requantification of label-free DDA proteomics data pre-analyzed by MaxQuant.

Normalize quantification data

Description

Normalize quantification data

Usage

normalize_data(
  data,
  method = c("median", "density", "vsn"),
  norm_to = NULL,
  norm_on_subset = NULL,
  main = "Data"
)

Arguments

data	Table of quantifications with samples in columns and features in rows.
method	Method how data should be normalized. Select between "median","density","vsn". By default set to "median".
norm_to	Optional: specify to which intensity all samples should be normalized. By default set to NULL indicating that samples are normalized to the average of samples.
norm_on_subset	Optional: numeric vector of rows on which normalization factors should be determined (e.g. expected constant background)
main	Titel of plots

Details

Normalize quantification data

Value

Table with normalized quantifications and density plots.

mathiaskalxdorf/IceR documentation built on Aug. 1, 2022, 8:03 a.m.