| Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling J Zecha, W Gabriel, R Spallek, YC Chang, J Mergner, M Wilhelm, ... Nature communications 13 (1), 165, 2022 | 57 | 2022 |
| Prosit Transformer: A transformer for Prediction of MS2 Spectrum Intensities M Ekvall, P Truong, W Gabriel, M Wilhelm, L Käll Journal of Proteome Research 21 (5), 1359-1364, 2022 | 21 | 2022 |
| Oktoberfest: Open‐source spectral library generation and rescoring pipeline based on Prosit M Picciani, W Gabriel, VG Giurcoiu, O Shouman, F Hamood, ... Proteomics 24 (8), 2300112, 2024 | 17 | 2024 |
| MegaGO: A Fast Yet Powerful Approach to Assess Functional Gene Ontology Similarity across Meta-Omics Data Sets P Verschaffelt, T Van Den Bossche, W Gabriel, M Burdukiewicz, A Soggiu, ... Journal of Proteome Research 20 (4), 2083-2088, 2021 | 15 | 2021 |
| Prosit-TMT: deep learning boosts identification of TMT-labeled peptides W Gabriel, M The, DP Zolg, FP Bayer, O Shouman, L Lautenbacher, ... Analytical Chemistry 94 (20), 7181-7190, 2022 | 14 | 2022 |
| Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF C Adams, W Gabriel, K Laukens, M Picciani, M Wilhelm, W Bittremieux, ... Nature communications 15 (1), 3956, 2024 | 11 | 2024 |
| PROSPECT: Labeled tandem mass spectrometry dataset for machine learning in proteomics O Shouman, W Gabriel, VG Giurcoiu, V Sternlicht, M Wilhelm Advances in Neural Information Processing Systems 35, 32882-32896, 2022 | 7 | 2022 |
| Real-time spectral library matching for sample multiplexed quantitative proteomics CD McGann, WD Barshop, JD Canterbury, C Lin, W Gabriel, J Huang, ... Journal of Proteome Research 22 (9), 2836-2846, 2023 | 5 | 2023 |
| Predicting fragment intensities and retention time of iTRAQ‐and TMTPro‐labeled peptides with Prosit‐TMT W Gabriel, V Giurcoiu, L Lautenbacher, M Wilhelm Proteomics 22 (19-20), 2100257, 2022 | 5 | 2022 |
| Koina: Democratizing machine learning for proteomics research L Lautenbacher, K Yang, T Kockmann, C Panse, M Chambers, E Kahl, ... bioRxiv, 2024.06. 01.596953, 2024 | 1 | 2024 |
| AI-Assisted Processing Pipeline to Boost Protein Isoform Detection M The, M Picciani, C Jensen, W Gabriel, B Kuster, M Wilhelm Protein Bioinformatics, 157-181, 2024 | | 2024 |
| Deep Learning-Assisted Analysis of Immunopeptidomics Data W Gabriel, M Picciani, M The, M Wilhelm Peptidomics: Methods and Strategies, 457-483, 2024 | | 2024 |
| Prosit boosts mass spectrometry-based proteomics one spectrum at a time M Wilhelm, W Gabriel, O Shouman, V Sternlicht, L Lautenbacher MOLECULAR & CELLULAR PROTEOMICS 21 (8), S23-S23, 2022 | | 2022 |
| MegaGO: A Fast Yet Powerful Approach to Assess Functional Gene Ontology Similarity across Meta-Omics Data Sets V Pieter, T Van Den Bossche, G Wassim, A Soggiu, M Lennart, ... JOURNAL OF PROTEOME RESEARCH 20 (4), 2021 | | 2021 |
Mathias WilhelmComputational Mass Spectrometry, Technical University of Munich在 tum.de 的电子邮件经过验证
