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:

- `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)

[Package structToolbox version 1.2.0 Index]