This 3.5-day course aims to provide an overview of data analysis for metabolic phenotyping studies, using data acquired from both liquid chromatography - mass spectrometry and NMR spectroscopy.
It combines lectures and tutorial sessions to ensure a thorough understanding of the theory and practical applications. Topics covered include:
Pre-processing of data acquired via LC-MS and NMR.
Basic chemometrics and unsupervised analysis including PCA.
Supervised analysis and advanced chemometrics - OPLS and O2PLS
Pathway analysis and statistical spectroscopy.
The course does not assume any experience of coding or statistical analysis.
It combines lectures and tutorial sessions to ensure a thorough understanding of the theory and practical applications. Topics covered include:
Pre-processing of data acquired via LC-MS and NMR.
Basic chemometrics and unsupervised analysis including PCA.
Supervised analysis and advanced chemometrics - OPLS and O2PLS
Pathway analysis and statistical spectroscopy.
The course does not assume any experience of coding or statistical analysis.
