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2024 | 2 |
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Diving Deep into the Data: A Review of Deep Learning Approaches and Potential Applications in Foodomics.
Foods. 2021 Aug 4;10(8):1803. doi: 10.3390/foods10081803.
Foods. 2021.
PMID: 34441579
Free PMC article.
Review.
Two-dimensional high-performance thin-layer chromatography for the characterization of milk peptide properties and a prediction of the retention behavior - a proof-of-principle study.
Treblin M, von Oesen T, Class LC, Kuhnen G, Clawin-Rädecker I, Martin D, Fritsche J, Rohn S.
Treblin M, et al. Among authors: kuhnen g.
J Chromatogr A. 2021 Sep 13;1653:462442. doi: 10.1016/j.chroma.2021.462442. Epub 2021 Jul 29.
J Chromatogr A. 2021.
PMID: 34365201
Item in Clipboard
Python workflow for the selection and identification of marker peptides-proof-of-principle study with heated milk.
Kuhnen G, Class LC, Badekow S, Hanisch KL, Rohn S, Kuballa J.
Kuhnen G, et al.
Anal Bioanal Chem. 2024 Jun;416(14):3349-3360. doi: 10.1007/s00216-024-05286-w. Epub 2024 Apr 12.
Anal Bioanal Chem. 2024.
PMID: 38607384
Free PMC article.
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The Shelf Life of Milk-A Novel Concept for the Identification of Marker Peptides Using Multivariate Analysis.
Class LC, Kuhnen G, Hanisch KL, Badekow S, Rohn S, Kuballa J.
Class LC, et al. Among authors: kuhnen g.
Foods. 2024 Mar 8;13(6):831. doi: 10.3390/foods13060831.
Foods. 2024.
PMID: 38540821
Free PMC article.
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