pqn_norm {structToolbox}R Documentation

Probabilistic Quotient Normalisation (PQN)

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:

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)


[Package structToolbox version 1.2.0 Index]