medianquotientnorm: Median Quotient Normalization of glycan data

In iugrina/glycanr: Tools for Analysing N-Glycan Data

Description

Returns glycans normalized with Median Quotient Normalization approach.

Usage

medianquotientnorm(d, grouping = FALSE)

Arguments

d	data frame in long format containing glycan measurements
grouping	should data be normalized per groups

Details

Input data frame should have at least the following three columns:
- gid - representing a unique name of a sample
- glycan - representing glycan names
- value - representing measured values
and if the grouping argument is TRUE it should also have column:
- groups - representing groupings (e.g. IgG1, IgG2 and IgG4)

Value

Returns a data.frame with original glycan values substituted by normalized ones

Author(s)

Ivo Ugrina, Lucija Klarić

References

Dieterle F,Ross A, Schlotterbeck G, Senn H.:
Probabilistic Quotient Normalization as Robust Method to Account for Diluition of Complex Biological Mixtures. Application in 1H NMR Metabolomics.
Anal Chem 2006;78:4281-90.
doi: 10.1021/ac051632c

Examples

data(mpiu)
mpiun <- medianquotientnorm(mpiu)
head(mpiun)

iugrina/glycanr documentation built on March 31, 2021, 9:50 a.m.