pqn_norm {structToolbox} | R Documentation |
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.
pqn_norm(qc_label = "QC", factor_name, ...)
qc_label |
(character) The label used to identify QC samples. The default is |
factor_name |
(character) No description provided. |
... |
Additional slots and values passed to |
This object makes use of functionality from the following packages:
pmp
A pqn_norm
object.
Jankevics A, Weber RJM (2020). pmp: Peak Matrix Processing and signal batch correction for metabolomics datasets. R package version 1.1.0.
D = iris_DatasetExperiment() M = pqn_norm(factor_name='Species',qc_label='all') M = model_apply(M,D)