| Detection of enriched T cell epitope specificity in full T cell receptor sequence repertoires S Gielis, P Moris, W Bittremieux, N De Neuter, B Ogunjimi, K Laukens, ... Frontiers in Immunology 10, 2820, 2019 | 183* | 2019 |
| A primer to frequent itemset mining for bioinformatics S Naulaerts, P Meysman, W Bittremieux, TN Vu, W Vanden Berghe, ... Briefings in Bioinformatics 16 (2), 216-231, 2015 | 175 | 2015 |
| Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data AA Aksenov, I Laponogov, Z Zhang, SLF Doran, I Belluomo, D Veselkov, ... Nature biotechnology 39 (2), 169-173, 2021 | 129* | 2021 |
| Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification P Moris, J De Pauw, A Postovskaya, S Gielis, N De Neuter, W Bittremieux, ... Briefings in Bioinformatics 22 (4), bbaa318, 2021 | 121 | 2021 |
| Quality control in mass spectrometry‐based proteomics W Bittremieux, DL Tabb, F Impens, A Staes, E Timmerman, L Martens, ... Mass Spectrometry Reviews 37 (5), 697-711, 2018 | 121 | 2018 |
| Proteomics standards initiative: Fifteen years of progress and future work EW Deutsch, S Orchard, PA Binz, W Bittremieux, M Eisenacher, ... Journal of Proteome Research 16 (12), 4288-4298, 2017 | 97 | 2017 |
| Fast open modification spectral library searching through approximate nearest neighbor indexing W Bittremieux, P Meysman, WS Noble, K Laukens Journal of Proteome Research 17 (10), 3463-3474, 2018 | 87 | 2018 |
| Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversity JP Shaffer, LF Nothias, LR Thompson, JG Sanders, RA Salido, ... Nature Microbiology 7 (12), 2128-2150, 2022 | 86 | 2022 |
| On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognition N De Neuter, W Bittremieux, C Beirnaert, B Cuypers, A Mrzic, P Moris, ... Immunogenetics 70 (3), 159-168, 2018 | 78 | 2018 |
| Machine learning applications in proteomics research: how the past can boost the future P Kelchtermans, W Bittremieux, K De Grave, S Degroeve, J Ramon, ... Proteomics 14 (4-5), 353-366, 2014 | 75 | 2014 |
| Universal Spectrum Identifier for mass spectra EW Deutsch, Y Perez-Riverol, J Carver, S Kawano, L Mendoza, ... Nature Methods 18, 768–770, 2021 | 64 | 2021 |
| Enhancing untargeted metabolomics using metadata-based source annotation JM Gauglitz, KA West, W Bittremieux, CL Williams, KC Weldon, ... Nature biotechnology 40 (12), 1774-1779, 2022 | 56* | 2022 |
| The critical role that spectral libraries play in capturing the metabolomics community knowledge W Bittremieux, M Wang, PC Dorrestein Metabolomics 18 (12), 94, 2022 | 55 | 2022 |
| Grasping frequent subgraph mining for bioinformatics applications A Mrzic, P Meysman, W Bittremieux, P Moris, B Cule, B Goethals, ... BioData mining 11 (1), 20, 2018 | 55 | 2018 |
| qcML: An exchange format for quality control metrics from mass spectrometry experiments M Walzer, LE Pernas, S Nasso, W Bittremieux, S Nahnsen, ... Molecular & Cellular Proteomics 13 (8), 1905-1913, 2014 | 55 | 2014 |
| spectrum_utils: A Python package for mass spectrometry data processing and visualization W Bittremieux Analytical Chemistry 92 (1), 659-661, 2020 | 54 | 2020 |
| De novo mass spectrometry peptide sequencing with a transformer model M Yilmaz, W Fondrie, W Bittremieux, S Oh, WS Noble International Conference on Machine Learning, 25514-25522, 2022 | 52 | 2022 |
| Extremely fast and accurate open modification spectral library searching of high-resolution mass spectra using feature hashing and graphics processing units W Bittremieux, K Laukens, WS Noble Journal of Proteome Research 18 (10), 3792-3799, 2019 | 48 | 2019 |
| A learned embedding for efficient joint analysis of millions of mass spectra W Bittremieux, DH May, J Bilmes, WS Noble Nature Methods 19, 675–678, 2022 | 45 | 2022 |
| MESSAR: Automated recommendation of metabolite substructures from tandem mass spectra Y Liu, A Mrzic, P Meysman, T De Vijlder, EP Romijn, D Valkenborg, ... PLOS ONE 15 (1), e0226770, 2020 | 45 | 2020 |
Kris LaukensProfessor Biodata Mining & Bioinformatics, University of AntwerpGeverifieerd e-mailadres voor uantwerpen.be