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Yves Moreau: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman
    Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:177-187 [Conf]
  2. Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau
    Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. [Citation Graph (0, 0)][DBLP]
    CBMS, 2002, pp:282-287 [Conf]
  3. Stein Aerts, Peter Van Loo, Gert Thijs, Yves Moreau, Bart De Moor
    Computational detection of cis-regulatory modules. [Citation Graph (0, 0)][DBLP]
    ECCB, 2003, pp:5-14 [Conf]
  4. Qizheng Sheng, Yves Moreau, Bart De Moor
    Biclustering microarray data by Gibbs sampling. [Citation Graph (0, 0)][DBLP]
    ECCB, 2003, pp:196-205 [Conf]
  5. Yves Moreau, Ellen Lerouge, Herman Verrelst, Joos Vandewalle, Christof Störmann, Peter Burge
    A hybrid system for fraud detection in mobile communications. [Citation Graph (0, 0)][DBLP]
    ESANN, 1999, pp:447-454 [Conf]
  6. Yves Moreau, Joos Vandewalle
    Composition methods for the integration of dynamical neural networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  7. Yves Moreau, Joos Vandewalle
    To stop learning using the evidence. [Citation Graph (0, 0)][DBLP]
    ESANN, 1998, pp:303-308 [Conf]
  8. Yves Moreau, Herman Verrelst, Joos Vandewalle
    Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:1065-1070 [Conf]
  9. Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor
    Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:184-190 [Conf]
  10. Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman
    Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  11. Bert Coessens, Stijn Christiaens, Ruben Verlinden, Yves Moreau, Robert Meersman, Bart De Moor
    Ontology Guided Data Integration for Computational Prioritization of Disease Genes. [Citation Graph (0, 0)][DBLP]
    OTM Workshops (1), 2006, pp:689-698 [Conf]
  12. Maja Hadzic, Bart De Moor, Yves Moreau, Arek Kasprzyk
    KSinBIT 2006 PC Co-chairs' Message. [Citation Graph (0, 0)][DBLP]
    OTM Workshops (1), 2006, pp:647- [Conf]
  13. Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor
    Evaluation of the Vector Space Representation in Text-Based Gene Clustering. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2003, pp:391-402 [Conf]
  14. Gert Thijs, Kathleen Marchal, Magali Lescot, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau
    A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2001, pp:305-312 [Conf]
  15. Patrick Glenisson, Bert Coessens, Steven Van Vooren, Yves Moreau, Bart De Moor
    Text-Based Gene Profiling with Domain-Specific Views. [Citation Graph (0, 0)][DBLP]
    SWDB, 2003, pp:15-31 [Conf]
  16. Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor
    Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:29, n:1-2, pp:39-60 [Journal]
  17. Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor
    Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:30, n:3, pp:257-281 [Journal]
  18. Stein Aerts, Peter Van Loo, Yves Moreau, Bart De Moor
    A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:12, pp:1974-1976 [Journal]
  19. Steffen Durinck, Joke Allemeersch, Vincent Carey, Yves Moreau, Bart De Moor
    Importing MAGE-ML format microarray data into BioConductor. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:18, pp:3641-3642 [Journal]
  20. Steffen Durinck, Yves Moreau, Arek Kasprzyk, Sean Davis, Bart De Moor, Alvis Brazma, Wolfgang Huber
    BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:16, pp:3439-3440 [Journal]
  21. Frank De Smet, Janick Mathys, Kathleen Marchal, Gert Thijs, Bart De Moor, Yves Moreau
    Adaptive quality-based clustering of gene expression profiles. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:5, pp:735-746 [Journal]
  22. Gert Thijs, Magali Lescot, Kathleen Marchal, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau
    A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:12, pp:1113-1122 [Journal]
  23. Gert Thijs, Yves Moreau, Frank De Smet, Janick Mathys, Magali Lescot, Stephane Rombauts, Pierre Rouzé, Bart De Moor, Kathleen Marchal
    INCLUSive: INtegrated Clustering, Upstream sequence retrieval and motif Sampling. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:2, pp:331-332 [Journal]
  24. Koen Deforche, T. Silander, Ricardo Camacho, Z. Grossman, M. A. Soares, K. Van Laethem, R. Kantor, Yves Moreau, Anne-Mieke Vandamme
    Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:24, pp:2975-2979 [Journal]
  25. Björn Menten, Filip Pattyn, Katleen De Preter, Piet Robbrecht, Evi Michels, Karen Buysse, Geert Mortier, Anne De Paepe, Steven Van Vooren, Joris Vermeesch, Yves Moreau, Bart De Moor, Stefan Vermeulen, Frank Speleman, Jo Vandesompele
    arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:124- [Journal]
  26. Gert Thijs, Kathleen Marchal, Magali Lescot, Stephane Rombauts, Bart De Moor, Pierre Rouzé, Yves Moreau
    A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 2002, v:9, n:2, pp:447-464 [Journal]
  27. Bert Coessens, Gert Thijs, Stein Aerts, Kathleen Marchal, Frank De Smet, Kristof Engelen, Patrick Glenisson, Yves Moreau, Janick Mathys, Bart De Moor
    INCLUSive: a web portal and service registry for microarray and regulatory sequence analysis. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2003, v:31, n:13, pp:3468-3470 [Journal]
  28. Magali Lescot, Patrice Déhais, Gert Thijs, Kathleen Marchal, Yves Moreau, Yves Van de Peer, Pierre Rouzé, Stephane Rombauts
    PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2002, v:30, n:1, pp:325-327 [Journal]
  29. Stein Aerts, Peter Van Loo, Gert Thijs, Herbert Mayer, Rainer de Martin, Yves Moreau, Bart De Moor
    TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:393-396 [Journal]
  30. Yves Moreau, Stéphane Louiès, Joos Vandewalle, Léon Brenig
    Embedding recurrent neural networks into predator-prey models. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:2, pp:237-245 [Journal]

  31. Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining. [Citation Graph (, )][DBLP]


  32. Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs. [Citation Graph (, )][DBLP]


  33. Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. [Citation Graph (, )][DBLP]


  34. Kernel-based data fusion for gene prioritization. [Citation Graph (, )][DBLP]


  35. Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. [Citation Graph (, )][DBLP]


  36. Query-driven module discovery in microarray data. [Citation Graph (, )][DBLP]


  37. Estimation of an in vivo fitness landscape experienced by HIV-1 under drug selective pressure useful for prediction of drug resistance evolution during treatment. [Citation Graph (, )][DBLP]


  38. Large-scale benchmark of Endeavour using MetaCore maps. [Citation Graph (, )][DBLP]


  39. CATMA, a comprehensive genome-scale resource for silencing and transcript profiling of Arabidopsis genes. [Citation Graph (, )][DBLP]


  40. An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH. [Citation Graph (, )][DBLP]


  41. Gene prioritization and clustering by multi-view text mining. [Citation Graph (, )][DBLP]


  42. L2-norm multiple kernel learning and its application to biomedical data fusion. [Citation Graph (, )][DBLP]


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