glycanr (version 0.3.0)

medianquotientnorm: Median Quotient Normalization of 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

Value

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

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)

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. http://dx.doi.org/10.1021/ac051632c

Examples

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