| Toward an integrated machine learning model of a proteomics experiment BA Neely, V Dorfer, L Martens, I Bludau, R Bouwmeester, S Degroeve, ... Journal of proteome research 22 (3), 681-696, 2023 | 20 | 2023 |
| ProteomicsML: An Online Platform for Community-Curated Datasets and Tutorials for Machine Learning in Proteomics T Rehfeldt, R Gabriels, R Bouwmeester, S Gessulat, B Neely, M Palmblad, ... | 10 | 2022 |
| MS2AI: automated repurposing of public peptide LC-MS data for machine learning applications TG Rehfeldt, K Krawczyk, M Bøgebjerg, V Schwämmle, R Röttger Bioinformatics 38 (3), 875-877, 2021 | 9 | 2021 |
| Variability analysis of LC-MS experimental factors and their impact on machine learning TG Rehfeldt, K Krawczyk, SG Echers, P Marcatili, P Palczynski, R Röttger, ... GigaScience 12, giad096, 2023 | 3 | 2023 |
| Variance Analysis of LC-MS Experimental Factors and Their Impact on Machine Learning (Pre-print) TG Rehfeldt, K Krawczyk, SG Echers, P Marcatili, P Palczynski, ... bioRxiv, 2023.05. 01.538996, 2023 | 1 | 2023 |
| (P.hd. Thesis) Application of deep learning methods on publicly available mass spectrometry-based proteomics data TG Rehfeldt | | 2023 |
