- ProteomicsML : an online platform for community-curated data sets and tutorials for machine learning in proteomics(2023)
Auteurs: Tobias G. Rehfeldt, Ralf Gabriels, Robbin Bouwmeester, Siegfried Gessulat, Benjamin A. Neely, Magnus Palmblad, Yasset Perez-Riverol, Tobias Schmidt, Juan Antonio Vizcaíno, Eric W. Deutsch
Pagina's: 632 - 636
- Quality control for the target decoy approach for peptide identification(2023)
Auteurs: Elke Debrie, Milan Malfait, Ralf Gabriels, Arthur Declercq, Adriaan Sticker, Lennart Martens, Lieven Clement
Pagina's: 350 - 358
- Updated MS²PIP web server supports cutting-edge proteomics applications(2023)
Auteurs: Arthur Declercq, Robbin Bouwmeester, Cristina Chiva, Eduard Sabido, Aurelie Hirschler, Christine Carapito, Lennart Martens, Sven Degroeve, Ralf Gabriels
Pagina's: W338 - W342
- The nutritional composition and cell size of microbial biomass for food applications are defined by the growth conditions(2023)
Auteurs: Myrsini Sakarika, Frederiek-Maarten Kerckhof, Lotte Van Peteghem, Alexandra Pinto Martins Pereira, Tim Van Den Bossche, Robbin Bouwmeester, Ralf Gabriels, Delphi Van Haver, Barbara Ulčar, Lennart Martens, et al.
- Machine learning to the rescue : enabling novel proteomics workflows with data-driven bioinformatics methods(2022)
Auteurs: Ralf Gabriels
- psm_utils : a high-level python API for parsing and handling peptide-spectrum matches and proteomics search results(2022)
Auteurs: Ralf Gabriels, Arthur Declercq, Robbin Bouwmeester, Sven Degroeve, Lennart Martens
Pagina's: 557 - 560
- Sensitive and specific spectral library searching with CompOmics Spectral library Searching tool and Percolator(2022)
Auteurs: Genet Abay Shiferaw, Ralf Gabriels, Robbin Bouwmeester, Tim Van Den Bossche, Elien Vandermarliere, Lennart Martens, Pieter-Jan Volders
Pagina's: 1365 - 1370
- Ion mobility coupled to a time-of-flight mass analyzer combined with fragment intensity predictions improves identification of classical bioactive peptides and small open reading frame-encoded peptides(2021)
Auteurs: Marlies Peeters, Geert Baggerman, Ralf Gabriels, Elise Pepermans, Gerben Menschaert, Kurt Boonen
- Removing the hidden data dependency of DIA with predicted spectral libraries(2020)
Auteurs: Bart Van Puyvelde, Sander Willems, Ralf Gabriels, Simon Daled, Laura De Clerck, Sofie Vande Casteele, An Staes, Francis Impens, Dieter Deforce, Lennart Martens, et al.
