pqn_norm: Probabilistic Quotient Normalisation (PQN)

In structToolbox: Data processing & analysis tools for Metabolomics and other omics

Description

PQN is used to normalise for differences in concentration between samples. It makes use of Quality Control (QC) samples as a reference. PQN scales by the median change relative to the reference in order to be more robust against changes caused by response to perturbation.

Usage

pqn_norm(qc_label = "QC", factor_name, ...)

Arguments

qc_label	(character) The label used to identify QC samples. The default is "QC".
factor_name	(character) No description provided.
...	Additional slots and values passed to struct_class.

Details

This object makes use of functionality from the following packages:

• pmp

Value

A pqn_norm object.

References

Jankevics A, Weber RJM (2020). pmp: Peak Matrix Processing and signal batch correction for metabolomics datasets. R package version 1.1.0.

Examples

D = iris_DatasetExperiment()
M = pqn_norm(factor_name='Species',qc_label='all')
M = model_apply(M,D)

structToolbox documentation built on Nov. 8, 2020, 6:54 p.m.