Bayesian peak tracking: A novel probabilistic approach to match GCxGC chromatograms
Author:
Funder
DSM Resolve
RIKILT
NFI
NWO
COAST Project
Publisher
Elsevier BV
Subject
Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry
Reference24 articles.
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2. Compound class oil fingerprinting techniques using comprehensive two-dimensional gas chromatography (GC x GC);Ventura;Org. Geochem.,2010
3. Application of comprehensive two-dimensional gas chromatography for the assessment of oil contaminated soils;Van de Weghe;J. Chromatogr. A,2006
4. Comprehensive multi-dimensional chromatographic studies on the separation of saturated hydrocarbon ring structures in petrochemical samples;Edam;J. Chromatogr. A,2005
5. Comparison of comprehensive two-dimensional gas chromatography and gas chromatography – mass spectrometry for the characterization of complex hydrocarbon mixtures;Schoenmakers;J. Cromatogr. A,2000
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1. Computer-driven optimization of complex gradients in comprehensive two-dimensional liquid chromatography;Journal of Chromatography A;2023-09
2. Algorithm for tracking peaks amongst numerous datasets in comprehensive two-dimensional chromatography to enhance data analysis and interpretation;Journal of Chromatography A;2023-08
3. GC×GC data visualization, processing, and analysis;Characterization of Odorant Patterns by Comprehensive Two-Dimensional Gas Chromatography;2022
4. Peak-tracking algorithm for use in comprehensive two-dimensional liquid chromatography – Application to monoclonal-antibody peptides;Journal of Chromatography A;2021-02
5. Chromatographic fingerprinting by comprehensive two-dimensional chromatography: Fundamentals and tools;TrAC Trends in Analytical Chemistry;2021-01
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