Large-Scale Human Metabolomics Studies: A Strategy for Data (Pre-) Processing and Validation
Queen's Medical Centre · University of Nottingham · +1 more institution
Abstract
A large metabolomics study was performed on 600 plasma samples taken at four time points before and after a single intake of a high fat test meal by obese and lean subjects. All samples were analyzed by a liquid chromatography-mass spectrometry (LC-MS) lipidomic method for metabolic profiling. A pragmatic approach combining several well-established statistical methods was developed for processing this large data set in order to detect small differences in metabolic profiles in combination with a large biological variation. Such metabolomics studies require a careful analytical and statistical protocol. The strategy included data preprocessing, data analysis, and validation of statistical models. After several…
Citation impact
- FWCI
- 6.32
- Percentile
- 100%
- References
- 19
Authors
8- SBSabina BijlsmaCorresponding
Queen's Medical Centre, University of Nottingham, Bioanalytica (Switzerland)
- IBI. Bobeldijk
Bioanalytica (Switzerland), Queen's Medical Centre, University of Nottingham
- EVElwin Verheij
Queen's Medical Centre, University of Nottingham, Bioanalytica (Switzerland)
- RRRaymond Ramaker
Bioanalytica (Switzerland), University of Nottingham, Queen's Medical Centre
- SKSunil Kochhar
Bioanalytica (Switzerland), Queen's Medical Centre, University of Nottingham
Topics & keywords
- Metabolomics
- Univariate
- Data pre-processing
- Chemistry
- Data set
- Biomarker discovery
- Preprocessor
- Multivariate statistics
- Reduced inequalities