| 2009 | ||
|---|---|---|
| 20 | Thomas Abeel, Yves Van de Peer, Yvan Saeys: Toward a gold standard for promoter prediction evaluation. Bioinformatics 25(12): (2009) | |
| 2008 | ||
| 19 | Yvan Saeys, Thomas Abeel, Yves Van de Peer: Robust Feature Selection Using Ensemble Feature Selection Techniques. ECML/PKDD (2) 2008: 313-325 | |
| 18 | Thomas Abeel, Yvan Saeys, Pierre Rouzé, Yves Van de Peer: ProSOM: core promoter prediction based on unsupervised clustering of DNA physical profiles. ISMB 2008: 24-31 | |
| 17 | Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé: Comparing Distance Measures with Visual Methods. MICAI 2008: 90-99 | |
| 16 | Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga: A review of estimation of distribution algorithms in bioinformatics. BioData Mining 1: (2008) | |
| 15 | Michiel Van Bel, Yvan Saeys, Yves Van de Peer: FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA. Bioinformatics 24(13): 1532-1533 (2008) | |
| 2007 | ||
| 14 | Karl Tuyls, Ronald L. Westra, Yvan Saeys, Ann Nowé: Knowledge Discovery and Emergent Complexity in Bioinformatics, First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers Springer 2007 | |
| 13 | 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 | |
| 12 | Isis Bonet, María M. García, Yvan Saeys, Yves Van de Peer, Ricardo Grau Ábalo: Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. IWINAC (1) 2007: 234-243 | |
| 11 | Tom Michoel, Steven Maere, Eric Bonnet, Anagha Joshi, Yvan Saeys, Tim Van den Bulcke, Koenraad Van Leemput, Piet van Remortel, Martin Kuiper, Kathleen Marchal, Yves Van de Peer: Validating module network learning algorithms using simulated data. BMC Bioinformatics 8(S-2): (2007) | |
| 10 | Yvan Saeys, Iñaki Inza, Pedro Larrañaga: A review of feature selection techniques in bioinformatics. Bioinformatics 23(19): 2507-2517 (2007) | |
| 9 | Yvan Saeys, Pierre Rouzé, Yves Van de Peer: In search of the small ones: improved prediction of short exons in vertebrates, plants, fungi and protists. Bioinformatics 23(4): 414-420 (2007) | |
| 2006 | ||
| 8 | Isis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer: Feature Extraction Using Clustering of Protein. CIARP 2006: 614-623 | |
| 7 | Philippe Faes, Bram Minnaert, Mark Christiaens, Eric Bonnet, Yvan Saeys, Dirk Stroobandt, Yves Van de Peer: Scalable hardware accelerator for comparing DNA and protein sequences. Infoscale 2006: 33 | |
| 6 | Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé: Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB 2006: 1-9 | |
| 5 | Yvan Saeys, Yves Van de Peer: Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection. KDECB 2006: 107-118 | |
| 2005 | ||
| 4 | Sven Degroeve, Yvan Saeys, Bernard De Baets, Pierre Rouzé, Yves Van de Peer: SpliceMachine: predicting splice sites from high-dimensional local context representations. Bioinformatics 21(8): 1332-1338 (2005) | |
| 2004 | ||
| 3 | Yvan Saeys, Sven Degroeve, Yves Van de Peer: Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach. PKDD 2004: 386-397 | |
| 2 | 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 Bioinformatics 5: 64 (2004) | |
| 2003 | ||
| 1 | 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 | |