“Improved Urinary Metabolomics Studies by Merging High-Resolution Mass Spectrometry Data from Positive and Negative Modes after Probabilistic Quotient Normalization”

https://pubmed.ncbi.nlm.nih.gov/38113356

This study suggests that merging high-resolution mass spectrometry data from both positive and negative modes after applying probabilistic quotient normalization generally improves quality control, sample classification, and feature selection in urinary metabolomics studies.