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Wout Bittremieux
Wout Bittremieux
Verified email at ucsd.edu - Homepage
Title
Cited by
Cited by
Year
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
1412015
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
63*2019
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
632018
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
632017
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
572014
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
53*2021
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
532018
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
452014
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
442018
Computational quality control tools for mass spectrometry proteomics
W Bittremieux, D Valkenborg, L Martens, K Laukens
Proteomics 17 (3-4), 1600159, 2017
342017
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
302018
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
26*2020
spectrum_utils: A Python package for mass spectrometry data processing and visualization
W Bittremieux
Analytical Chemistry 92 (1), 659-661, 2020
262020
iMonDB: Mass spectrometry quality control through instrument monitoring
W Bittremieux, H Willems, P Kelchtermans, L Martens, K Laukens, ...
Journal of Proteome Research 14 (5), 2360-2366, 2015
252015
Unsupervised quality assessment of mass spectrometry proteomics experiments by multivariate quality control metrics
W Bittremieux, P Meysman, L Martens, D Valkenborg, K Laukens
Journal of Proteome Research 15 (4), 1300-1307, 2016
212016
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
182021
Universal Spectrum Identifier for mass spectra
EW Deutsch, Y Perez-Riverol, J Carver, S Kawano, L Mendoza, ...
Nature Methods 18, 768–770, 2021
182021
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
182019
Using expert driven machine learning to enhance dynamic metabolomics data analysis
C Beirnaert, L Peeters, P Meysman, W Bittremieux, K Foubert, D Custers, ...
Metabolites 9 (3), 54, 2019
162019
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
152022
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Articles 1–20