medianquotientnorm {glycanr} | R Documentation |
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 |
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)