
Preprocessing choices reshape principal component analysis outcomes in gas chromatography-mass spectrometry datasets.

Robert Cordina is a computational chemist specialising in building physics and chemistry-based models, as well as data analysis and visualisation. He did his undergraduate degree in Chemistry and Physics at the University of Malta, and followed that with postgraduate studies in pharmaceuticals and food science, including a PhD at the University of Strathclyde. He has over 20 years of experience in both the pharmaceutical and food industries in a range of different roles. He now runs Funis Consulting, helping companies build virtual models of their systems as well as making sense of their data.

Preprocessing choices reshape principal component analysis outcomes in gas chromatography-mass spectrometry datasets.