Use of Bayesian Statistics for Pairwise Comparison of Megavariate Data Sets: Extracting Meaningful Differences between GCxGC-MS Chromatograms Using Jensen–Shannon Divergence
Author:
Affiliation:
1. Analytical Chemistry Group, van’t Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
Funder
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
DSM Resolve
Nederlands Forensisch Instituut, Ministerie van Veiligheid en Justitie
RIKILT Wageningen UR
Publisher
American Chemical Society (ACS)
Subject
Analytical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.5b03506
Reference22 articles.
1. Novel system for classifying chromatographic applications, exemplified by comprehensive two-dimensional gas chromatography and multivariate analysis
2. Comparative analysis of mass spectral matching-based compound identification in gas chromatography–mass spectrometry
3. The discriminant pixel approach: A new tool for the rational interpretation of GCxGC-MS chromatograms
4. Combination of dynamic time warping and multivariate analysis for the comparison of comprehensive two-dimensional gas chromatograms
5. Optimization and testing of mass spectral library search algorithms for compound identification
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