Sven Degroeve

According to our database, Sven Degroeve authored at least 16 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Updated MS²PIP web server supports cutting-edge proteomics applications.

Arthur Declercq, Robbin Bouwmeester, Cristina Chiva, Eduard Sabidó, Aurélie Hirschler, Christine Carapito, Lennart Martens, Sven Degroeve, Ralf Gabriels

Nucleic Acids Res., July, 2023

2019

Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques.

Ralf Gabriels, Lennart Martens, Sven Degroeve

Nucleic Acids Res., 2019

Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions.

Ana S. C. Silva, Robbin Bouwmeester, Lennart Martens, Sven Degroeve

Bioinform., 2019

2017

MAPPI-DAT: data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform.

Surya Gupta, Veronic De Puysseleyr, José Van der Heyden, Davy Maddelein, Irma Lemmens, Sam Lievens, Sven Degroeve, Jan Tavernier, Lennart Martens

Bioinform., 2017

2015

MS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation.

Sven Degroeve, Davy Maddelein, Lennart Martens

Nucleic Acids Res., 2015

2013

MS²PIP: a tool for MS/MS peak intensity prediction.

Sven Degroeve, Lennart Martens

Bioinform., 2013

2007

Translation initiation site prediction on a genomic scale: beauty in simplicity.

Yvan Saeys, Thomas Abeel, Sven Degroeve, Yves Van de Peer

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006

Feature Ranking Using an EDA-based Wrapper Approach.

Yvan Saeys, Sven Degroeve, Yves Van de Peer

Proceedings of the Towards a New Evolutionary Computation, 2006

2005

SpliceMachine: predicting splice sites from high-dimensional local context representations.

Sven Degroeve, Yvan Saeys, Bernard De Baets, Pierre Rouzé, Yves Van de Peer

Bioinform., 2005

Collecting Ground Truth Annotations for Drum Detection in Polyphonic Music.

Koen Tanghe, Micheline Lesaffre, Sven Degroeve, Marc Leman, Bernard De Baets, Jean-Pierre Martens

Proceedings of the ISMIR 2005, 2005

A Simulated Annealing Optimization of Audio Features for Drum Classification.

Sven Degroeve, Koen Tanghe, Bernard De Baets, Marc Leman, Jean-Pierre Martens

Proceedings of the ISMIR 2005, 2005

2004

Feature selection for splice site prediction: A new method using EDA-based feature ranking.

Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rouzé, Yves Van de Peer

BMC Bioinform., 2004

Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach.

Yvan Saeys, Sven Degroeve, Yves Van de Peer

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Support Vector Machines for Bass and Snare Drum Recognition.

Dirk Van Steelant, Koen Tanghe, Sven Degroeve, Bernard De Baets, Marc Leman, Jean-Pierre Martens

Proceedings of the Classification, 2004

2003

Fast feature selection using a simple estimation of distribution algorithm: a case study on splice site prediction.

Yvan Saeys, Sven Degroeve, Dirk Aeyels, Yves Van de Peer, Pierre Rouzé

Proceedings of the European Conference on Computational Biology (ECCB 2003), 2003

2002

Feature subset selection for splice site prediction.

Sven Degroeve, Bernard De Baets, Yves Van de Peer, Pierre Rouzé

Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002