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Ralf Gabriels

Showing results (11-20 of 42) with videos related to

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Journal of Proteome Research|April 21, 2022
Sensitive and Specific Spectral Library Searching with CompOmics Spectral Library Searching Tool and PercolatorGenet Abay Shiferaw, Ralf Gabriels, Robbin Bouwmeester, et al.
Nucleic Acids Research|May 4, 2023
Updated MS²PIP web server supports cutting-edge proteomics applicationsArthur Declercq, Robbin Bouwmeester, Cristina Chiva, et al.
Journal of Proteome Research|May 17, 2021
Personalized Proteome: Comparing Proteogenomics and Open Variant Search Approaches for Single Amino Acid Variant DetectionRenee Salz, Robbin Bouwmeester, Ralf Gabriels, et al.
Analytical Chemistry|July 8, 2025
Collisional Cross-Section Prediction for Multiconformational Peptide Ions with IM2DeepRobbe Devreese, Alireza Nameni, Arthur Declercq, et al.
Journal of Proteome Research|April 26, 2024
Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis WorkflowsAn Staes, Teresa Mendes Maia, Sara Dufour, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 14, 2025
High-Coverage Immunopeptidomics Using timsTOF Mass Spectrometers with Thunder-DDA-PASEF Boosted by MS<sup>2</sup>RescoreDavid Gomez-Zepeda, Julian Beyrle, Annica Preikschat, et al.
Analytical Chemistry|June 8, 2026
iDeepLC: Chemical Structure Information Yields Improved Retention Time Prediction of Peptides with Unseen ModificationsAlireza Nameni, Arthur Declercq, Ralf Gabriels, et al.
Molecular & Cellular Proteomics : MCP|April 6, 2021
Spectral Prediction Features as a Solution for the Search Space Size Problem in ProteogenomicsSteven Verbruggen, Siegfried Gessulat, Ralf Gabriels, et al.
Nature Communications|February 10, 2026
Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setupsRobbin Bouwmeester, Alireza Nameni, Arthur Declercq, et al.
Journal of Proteome Research|January 24, 2023
ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in ProteomicsTobias G Rehfeldt, Ralf Gabriels, Robbin Bouwmeester, et al.
Pageof 5

Showing results (11-20 of 42) with videos related to

Sort By:
Pageof 5
Journal of Proteome Research|April 21, 2022
Sensitive and Specific Spectral Library Searching with CompOmics Spectral Library Searching Tool and PercolatorGenet Abay Shiferaw, Ralf Gabriels, Robbin Bouwmeester, et al.
Nucleic Acids Research|May 4, 2023
Updated MS²PIP web server supports cutting-edge proteomics applicationsArthur Declercq, Robbin Bouwmeester, Cristina Chiva, et al.
Journal of Proteome Research|May 17, 2021
Personalized Proteome: Comparing Proteogenomics and Open Variant Search Approaches for Single Amino Acid Variant DetectionRenee Salz, Robbin Bouwmeester, Ralf Gabriels, et al.
Analytical Chemistry|July 8, 2025
Collisional Cross-Section Prediction for Multiconformational Peptide Ions with IM2DeepRobbe Devreese, Alireza Nameni, Arthur Declercq, et al.
Journal of Proteome Research|April 26, 2024
Benefit of In Silico Predicted Spectral Libraries in Data-Independent Acquisition Data Analysis WorkflowsAn Staes, Teresa Mendes Maia, Sara Dufour, et al.
Methods in Molecular Biology (Clifton, N.J.)|October 14, 2025
High-Coverage Immunopeptidomics Using timsTOF Mass Spectrometers with Thunder-DDA-PASEF Boosted by MS<sup>2</sup>RescoreDavid Gomez-Zepeda, Julian Beyrle, Annica Preikschat, et al.
Analytical Chemistry|June 8, 2026
iDeepLC: Chemical Structure Information Yields Improved Retention Time Prediction of Peptides with Unseen ModificationsAlireza Nameni, Arthur Declercq, Ralf Gabriels, et al.
Molecular & Cellular Proteomics : MCP|April 6, 2021
Spectral Prediction Features as a Solution for the Search Space Size Problem in ProteogenomicsSteven Verbruggen, Siegfried Gessulat, Ralf Gabriels, et al.
Nature Communications|February 10, 2026
Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setupsRobbin Bouwmeester, Alireza Nameni, Arthur Declercq, et al.
Journal of Proteome Research|January 24, 2023
ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in ProteomicsTobias G Rehfeldt, Ralf Gabriels, Robbin Bouwmeester, et al.
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