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Sven Degroeve
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2020 – today
- 2023
- [j8]Arthur Declercq, Robbin Bouwmeester, Cristina Chiva, Eduard Sabidó, Aurélie Hirschler, Christine Carapito, Lennart Martens, Sven Degroeve, Ralf Gabriels:
Updated MS²PIP web server supports cutting-edge proteomics applications. Nucleic Acids Res. 51(W1): 338-342 (2023)
2010 – 2019
- 2019
- [j7]Ana S. C. Silva, Robbin Bouwmeester, Lennart Martens, Sven Degroeve:
Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions. Bioinform. 35(24): 5243-5248 (2019) - [j6]Ralf Gabriels, Lennart Martens, Sven Degroeve:
Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques. Nucleic Acids Res. 47(Webserver-Issue): W295-W299 (2019) - 2017
- [j5]Surya Gupta, Veronic De Puysseleyr, José Van der Heyden, Davy Maddelein, Irma Lemmens, Sam Lievens, Sven Degroeve, Jan Tavernier, Lennart Martens:
MAPPI-DAT: data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform. Bioinform. 33(9): 1424-1425 (2017) - 2015
- [j4]Sven Degroeve, Davy Maddelein, Lennart Martens:
MS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation. Nucleic Acids Res. 43(Webserver-Issue): W326-W330 (2015) - 2013
- [j3]Sven Degroeve, Lennart Martens:
MS2PIP: a tool for MS/MS peak intensity prediction. Bioinform. 29(24): 3199-3203 (2013)
2000 – 2009
- 2007
- [c7]Yvan Saeys, Thomas Abeel, Sven Degroeve, Yves Van de Peer:
Translation initiation site prediction on a genomic scale: beauty in simplicity. ISMB/ECCB (Supplement of Bioinformatics) 2007: 418-423 - 2006
- [p1]Yvan Saeys, Sven Degroeve, Yves Van de Peer:
Feature Ranking Using an EDA-based Wrapper Approach. Towards a New Evolutionary Computation 2006: 243-257 - 2005
- [j2]Sven Degroeve, Yvan Saeys, Bernard De Baets, Pierre Rouzé, Yves Van de Peer:
SpliceMachine: predicting splice sites from high-dimensional local context representations. Bioinform. 21(8): 1332-1338 (2005) - [c6]Koen Tanghe, Micheline Lesaffre, Sven Degroeve, Marc Leman, Bernard De Baets, Jean-Pierre Martens:
Collecting Ground Truth Annotations for Drum Detection in Polyphonic Music. ISMIR 2005: 50-57 - [c5]Sven Degroeve, Koen Tanghe, Bernard De Baets, Marc Leman, Jean-Pierre Martens:
A Simulated Annealing Optimization of Audio Features for Drum Classification. ISMIR 2005: 482-487 - 2004
- [j1]Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rouzé, Yves Van de Peer:
Feature selection for splice site prediction: A new method using EDA-based feature ranking. BMC Bioinform. 5: 64 (2004) - [c4]Dirk Van Steelant, Koen Tanghe, Sven Degroeve, Bernard De Baets, Marc Leman, Jean-Pierre Martens:
Support Vector Machines for Bass and Snare Drum Recognition. GfKl 2004: 616-623 - [c3]Yvan Saeys, Sven Degroeve, Yves Van de Peer:
Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach. PKDD 2004: 386-397 - 2003
- [c2]Yvan Saeys, Sven Degroeve, Dirk Aeyels, Yves Van de Peer, Pierre Rouzé:
Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction. ECCB 2003: 179-188 - 2002
- [c1]Sven Degroeve, Bernard De Baets, Yves Van de Peer, Pierre Rouzé:
Feature subset selection for splice site prediction. ECCB 2002: 75-83
Coauthor Index
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