- Work address
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Technologiepark-Zwijnaarde 75, FSVMII
9052 Zwijnaarde - Robbin.Bouwmeester@UGent.be
- ORCID iD
-
0000-0001-6807-7029
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The difference is in the details : predicting the LC-IM-MS behaviour of metabolites and peptides
(2020) -
- Miscellaneous
- open access
DeepLC can predict retention times for peptides that carry as-yet unseen modifications
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- Journal Article
- A1
- open access
Generalized calibration across liquid chromatography setups for generic prediction of small-molecule retention times
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The age of data-driven proteomics : how machine learning enables novel workflows
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- Journal Article
- A1
- open access
A comparison of collision cross section values obtained via travelling wave ion mobility-mass spectrometry and ultra high performance liquid chromatography-ion mobility-mass spectrometry : application to the characterisation of metabolites in rat urine
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- Journal Article
- A1
- open access
Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions
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- Journal Article
- A1
- open access
Comprehensive and empirical evaluation of machine learning algorithms for small molecule LC retention time prediction