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ORCIDYves Moreau
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- affiliation: Catholic University of Leuven, Belgium
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2020 – today
- 2024
[j68]Susan Ghaderi
, Masoud Ahookhosh, Adam Arany, Alexander Skupin, Panagiotis Patrinos, Yves Moreau:
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. Appl. Math. Comput. 464: 128377 (2024)- [j67]Wouter Heyndrickx, Lewis H. Mervin, Tobias Morawietz, Noé Sturm, Lukas Friedrich, Adam Zalewski, Anastasia Pentina, Lina Humbeck, Martijn Oldenhof, Ritsuya Niwayama, Peter Schmidtke, Nikolas Fechner, Jaak Simm, Adam Arany, Nicolas Drizard, Rama Jabal, Arina Afanasyeva, Regis Loeb, Shlok Verma, Simon Harnqvist, Matthew Holmes, Balazs Pejo, Maria Telenczuk, Nicholas Holway, Arne Dieckmann, Nicola Rieke, Friederike Zumsande, Djork-Arné Clevert, Michael Krug, Christopher N. Luscombe, Darren V. S. Green, Peter Ertl, Peter Antal, David Marcus, Nicolas Do Huu, Hideyoshi Fuji, Stephen D. Pickett, Gergely Ács, Eric Boniface, Bernd Beck, Yax Sun, Arnaud Gohier, Friedrich Rippmann, Ola Engkvist, Andreas H. Göller, Yves Moreau, Mathieu N. Galtier, Ansgar Schuffenhauer, Hugo Ceulemans:
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information. J. Chem. Inf. Model. 64(7): 2331-2344 (2024) - [c46]Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau:
Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CVPR 2024: 17669-17678 - [c45]András Formanek, Edward De Brouwer, Péter Antal, Yves Moreau, Adam Arany:
Model Based Clustering of Time Series Utilizing Expert ODEs. ICANN (4) 2024: 230-245 - [c44]Ashkan Pirmani, Yves Moreau, Liesbet M. Peeters:
Unlocking the Power of Real-World Data: A Framework for Sustainable Healthcare. MIE 2024: 1582-1583 - [i21]Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau:
Atom-Level Optical Chemical Structure Recognition with Limited Supervision. CoRR abs/2404.01743 (2024) - [i20]Hannah Rosa Friesacher, Ola Engkvist, Lewis H. Mervin, Yves Moreau, Adam Arany:
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models. CoRR abs/2407.14185 (2024) - [i19]Giada Lalli, James Collier, Yves Moreau, Daniele Raimondi:
JINet: easy and secure private data analysis for everyone. CoRR abs/2408.16402 (2024) - 2023
- [c43]Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier:
Industry-Scale Orchestrated Federated Learning for Drug Discovery. AAAI 2023: 15576-15584 - [c42]Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer:
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. ICLR 2023 - [i18]Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer:
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection. CoRR abs/2303.05148 (2023) - [i17]Antoine Passemiers, Pietro Folco, Daniele Raimondi, Giovanni Birolo, Yves Moreau, Piero Fariselli:
How good Neural Networks interpretation methods really are? A quantitative benchmark. CoRR abs/2304.02383 (2023) - 2022
- [j66]Antoine Passemiers, Yves Moreau, Daniele Raimondi:
Fast and accurate inference of gene regulatory networks through robust precision matrix estimation. Bioinform. 38(10): 2802-2809 (2022) - [j65]Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]. Comput. Methods Programs Biomed. 213: 106479 (2022) - [j64]Daniele Raimondi, Gabriele Orlando, Nora Verplaetse, Piero Fariselli, Yves Moreau:
Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship. Frontiers Bioinform. 2 (2022) - [c41]Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt:
Topological Graph Neural Networks. ICLR 2022 - [c40]Ploingarm Petsophonsakul, Ashkan Pirmani, Edward De Brouwer, Murat Akand, Wouter Botermans, Frank Van Der Aa, Joris Robert Vermeesch, Fritz Offner, Roel Wuyts, Yves Moreau, Ingrid Maes, Ines Blockx, Patricia Van Rompuy, Martine Lewi, Bart Vannieuwenhuyse:
Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO). MIE 2022: 829-833 - [i16]Adam Arany, Jaak Simm, Martijn Oldenhof, Yves Moreau:
SparseChem: Fast and accurate machine learning model for small molecules. CoRR abs/2203.04676 (2022) - [i15]Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier:
Industry-Scale Orchestrated Federated Learning for Drug Discovery. CoRR abs/2210.08871 (2022) - 2021
- [j63]Daniele Raimondi, Jaak Simm, Adam Arany, Yves Moreau:
A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction. Bioinform. 37(16): 2275-2281 (2021) - [j62]Daniele Raimondi, Gabriele Orlando, Emiel Michiels, Donya Pakravan, Anna Bratek-Skicki, Ludo Van Den Bosch, Yves Moreau, Frederic Rousseau, Joost Schymkowitz:
In silico prediction of in vitro protein liquid-liquid phase separation experiments outcomes with multi-head neural attention. Bioinform. 37(20): 3473-3479 (2021) - [j61]Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression. Comput. Methods Programs Biomed. 208: 106180 (2021) - [j60]Jaak Simm, Lina Humbeck, Adam Zalewski, Noé Sturm, Wouter Heyndrickx, Yves Moreau, Bernd Beck, Ansgar Schuffenhauer:
Splitting chemical structure data sets for federated privacy-preserving machine learning. J. Cheminformatics 13(1): 96 (2021) - [j59]Joris Tavernier, Jaak Simm, Karl Meerbergen, Yves Moreau:
Two-level preconditioning for Ridge Regression. Numer. Linear Algebra Appl. 28(4) (2021) - [c39]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
Self-labeling of Fully Mediating Representations by Graph Alignment. BNAIC/BENELEARN 2021: 46-65 - [c38]Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau:
Latent Convergent Cross Mapping. ICLR 2021 - [c37]Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau:
Expressive Graph Informer Networks. LOD 2021: 198-212 - [i14]Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt:
Topological Graph Neural Networks. CoRR abs/2102.07835 (2021) - [i13]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
Self-Labeling of Fully Mediating Representations by Graph Alignment. CoRR abs/2103.14133 (2021) - 2020
- [j58]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. J. Chem. Inf. Model. 60(10): 4506-4517 (2020) - [j57]Daniele Raimondi, Gabriele Orlando, Piero Fariselli, Yves Moreau:
Insight into the protein solubility driving forces with neural attention. PLoS Comput. Biol. 16(4) (2020) - [i12]Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm:
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. CoRR abs/2002.09914 (2020) - [i11]Anton Vuerinckx, Yves Moreau:
A Central Limit Theorem for Martin-Löf Random Numbers. CoRR abs/2003.14025 (2020) - [i10]Joris Tavernier, Jaak Simm, Adam Arany, Karl Meerbergen, Yves Moreau:
Multilevel Gibbs Sampling for Bayesian Regression. CoRR abs/2009.12132 (2020) - [i9]Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannej, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Longitudinal modeling of MS patient trajectories improves predictions of disability progression. CoRR abs/2011.04749 (2020)
2010 – 2019
- 2019
- [j56]Thomas Moerman, Sara Aibar Santos, Carmen Bravo González-Blas, Jaak Simm, Yves Moreau, Jan Aerts, Stein Aerts:
GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks. Bioinform. 35(12): 2159-2161 (2019) - [j55]Gabriele Orlando, Daniele Raimondi, Francesco Tabaro, Francesco Codicè, Yves Moreau, Wim F. Vranken:
Computational identification of prion-like RNA-binding proteins that form liquid phase-separated condensates. Bioinform. 35(22): 4617-4623 (2019) - [j54]Joris Tavernier, Jaak Simm, Karl Meerbergen, Jörg Kurt Wegner, Hugo Ceulemans, Yves Moreau:
Fast semi-supervised discriminant analysis for binary classification of large data sets. Pattern Recognit. 91: 86-99 (2019) - [c36]Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - [c35]Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series. NeurIPS 2019: 7377-7388 - [i8]Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series. CoRR abs/1905.12374 (2019) - [i7]Jaak Simm, Adam Arany, Edward De Brouwer, Yves Moreau:
Graph Informer Networks for Molecules. CoRR abs/1907.11318 (2019) - 2018
- [j53]Ajay Anand Kumar, Lut Van Laer, Maaike Alaerts, Amin Ardeshirdavani, Yves Moreau, Kris Laukens, Bart Loeys, Geert Vandeweyer:
pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion. Bioinform. 34(13): 2254-2262 (2018) - [j52]Pooya Zakeri, Jaak Simm, Adam Arany, Sarah ElShal, Yves Moreau:
Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information. Bioinform. 34(13): i447-i456 (2018) - [j51]Artemis G. Hatzigeorgiou, Pantelis G. Bagos, Panayiotis V. Benos, Christoforos Nikolaou, Yves Moreau, Ioannis Kavakiotis:
ECCB 2018: The 17th European Conference on Computational Biology. Bioinform. 34(17): i595-i598 (2018) - [j50]Daniele Raimondi, Gabriele Orlando, Yves Moreau, Wim F. Vranken:
Ultra-fast global homology detection with Discrete Cosine Transform and Dynamic Time Warping. Bioinform. 34(18): 3118-3125 (2018) - [j49]Charlotte Bonte, Eleftheria Makri, Amin Ardeshirdavani, Jaak Simm, Yves Moreau, Frederik Vercauteren:
Towards practical privacy-preserving genome-wide association study. BMC Bioinform. 19(1): 537:1-537:12 (2018) - [i6]Denis Jeambrun, Yves Moreau, Jean-Louis Costaz, Jean-Pierre Tourret, Paul Jouanna, Gilles Lecoy:
Simulation of the propagation of a cylindrical shear wave : non linear and dissipative modelling. CoRR abs/1802.04750 (2018) - [i5]Joris Tavernier, Jaak Simm, Karl Meerbergen, Yves Moreau:
Multilevel preconditioning for Ridge Regression. CoRR abs/1806.05826 (2018) - [i4]Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau:
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification. CoRR abs/1811.10501 (2018) - 2017
- [c34]Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Yves Moreau:
Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC. MLSP 2017: 1-6 - [i3]Joris Tavernier, Jaak Simm, Karl Meerbergen, Jörg K. Wegner, Hugo Ceulemans, Yves Moreau:
Fast semi-supervised discriminant analysis for binary classification of large data-sets. CoRR abs/1709.04794 (2017) - [i2]Charlotte Bonte, Eleftheria Makri, Amin Ardeshirdavani, Jaak Simm, Yves Moreau, Frederik Vercauteren:
Privacy-Preserving Genome-Wide Association Study is Practical. IACR Cryptol. ePrint Arch. 2017: 955 (2017) - 2016
- [j48]Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan F. DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman, Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau, Nagarajan Raju, Sonia P. Chothani, C. Ramakrishnan, Masakazu Sekijima, M. Michael Gromiha, Paddy J. Slator, Nigel J. Burroughs, Przemyslaw Szalaj, Zhonghui Tang, Paul J. Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski, Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens, Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic:
Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015. BMC Bioinform. 17(S-3) (2016) - [j47]Léon-Charles Tranchevent, Amin Ardeshirdavani, Sarah ElShal, Daniel Alcaide, Jan Aerts, Didier Auboeuf, Yves Moreau:
Candidate gene prioritization with Endeavour. Nucleic Acids Res. 44(Webserver-Issue): W117-W121 (2016) - [c33]Sarah ElShal, Mithila Mathad, Jaak Simm, Jesse Davis, Yves Moreau:
Topic modeling of biomedical text. BIBM 2016: 712-716 - [c32]Sarah ElShal, Jaak Simm, Adam Arany, Pooya Zakeri, Jesse Davis, Yves Moreau:
A Comprehensive Comparison of Two MEDLINE Annotators for Disease and Gene Linkage: Sometimes Less is More. IWBBIO 2016: 765-778 - 2015
- [j46]Yves Moreau, Niko Beerenwinkel:
ISMB/ECCB 2015. Bioinform. 31(12): 1-2 (2015) - [j45]Amin Ardeshirdavani, Erika L. Souche, Luc Dehaspe, Jeroen K. J. Van Houdt, Joris Robert Vermeesch, Yves Moreau:
NGS-Logistics: data infrastructure for efficient analysis of NGS sequence variants across multiple centers. BMC Bioinform. 16(S-2): A10 (2015) - [j44]Dusan Popovic, Alejandro Sifrim, Jesse Davis, Yves Moreau, Bart De Moor:
Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case. BMC Bioinform. 16(S-4): S2 (2015) - [j43]Griet Laenen, Amin Ardeshirdavani, Yves Moreau, Lieven Thorrez:
Galahad: a web server for drug effect analysis from gene expression. Nucleic Acids Res. 43(Webserver-Issue): W208-W212 (2015) - [c31]Pooya Zakeri, Sarah Elshal, Yves Moreau:
Gene prioritization through geometric-inspired kernel data fusion. BIBM 2015: 1559-1565 - 2014
- [j42]Pooya Zakeri, Ben Jeuris, Raf Vandebril, Yves Moreau:
Protein fold recognition using geometric kernel data fusion. Bioinform. 30(13): 1850-1857 (2014) - [j41]Marie-Dominique Devignes, Yves Moreau:
ECCB 2014: The 13th European Conference on Computational Biology. Bioinform. 30(17): 345-348 (2014) - [c30]Dusan Popovic, Charalampos N. Moschopoulos, Ryo Sakai, Alejandro Sifrim, Jan Aerts, Yves Moreau, Bart De Moor:
A Self-Tuning Genetic Algorithm with Applications in Biomarker Discovery. CBMS 2014: 233-238 - [c29]Charalampos N. Moschopoulos, Dusan Popovic, Rocco Langone, Johan A. K. Suykens, Bart De Moor, Yves Moreau:
Gene interaction networks boost genetic algorithm performance in biomarker discovery. MCDM 2014: 144-149 - [i1]Marc Claesen, Jaak Simm, Dusan Popovic, Yves Moreau, Bart De Moor:
Easy Hyperparameter Search Using Optunity. CoRR abs/1412.1114 (2014) - 2013
- [j40]Georgios A. Pavlopoulos, Anastasis Oulas, Ernesto Iacucci, Alejandro Sifrim, Yves Moreau, Reinhard Schneider, Jan Aerts, Ioannis Iliopoulos:
Unraveling genomic variation from next generation sequencing data. BioData Min. 6: 13 (2013) - [c28]Dusan Popovic, Alejandro Sifrim, Yves Moreau, Bart De Moor:
eXtasy simplified-towards opening the black box. BIBM 2013: 24-28 - [c27]Charalampos N. Moschopoulos, Dusan Popovic, Alejandro Sifrim, Grigorios N. Beligiannis, Bart De Moor, Yves Moreau:
A Genetic Algorithm for Pancreatic Cancer Diagnosis. EANN (2) 2013: 222-230 - [c26]Dusan Popovic, Alejandro Sifrim, Charalampos N. Moschopoulos, Yves Moreau, Bart De Moor:
A Hybrid Approach to Feature Ranking for Microarray Data Classification. EANN (2) 2013: 241-248 - 2012
- [j39]Ernesto Iacucci, Léon-Charles Tranchevent, Dusan Popovic, Georgios A. Pavlopoulos, Bart De Moor, Reinhard Schneider, Yves Moreau:
ReLiance: a machine learning and literature-based prioritization of receptor - ligand pairings. Bioinform. 28(18): 569-574 (2012) - [j38]Daniela Börnigen, Léon-Charles Tranchevent, Francisco Bonachela Capdevila, Koenraad Devriendt, Bart De Moor, Patrick De Causmaecker, Yves Moreau:
An unbiased evaluation of gene prioritization tools. Bioinform. 28(23): 3081-3088 (2012) - [j37]Ernesto Iacucci, Léon-Charles Tranchevent, Dusan Popovic, Georgios A. Pavlopoulos, Bart De Moor, Reinhard Schneider, Yves Moreau:
A bioinformatics e-dating story: computational prediction and prioritization of receptor-ligand pairs. BMC Bioinform. 13(S-18): A7 (2012) - [j36]Joana P. Gonçalves, Yves Moreau, Sara C. Madeira:
AliBiMotif: Integrating alignment and biclustering to unravel transcription factor binding sites in DNA sequences. Int. J. Data Min. Bioinform. 6(2): 196-215 (2012) - [j35]Shi Yu, Léon-Charles Tranchevent, Xinhai Liu, Wolfgang Glänzel, Johan A. K. Suykens, Bart De Moor, Yves Moreau:
Optimized Data Fusion for Kernel k-Means Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 1031-1039 (2012) - [c25]Charalampos N. Moschopoulos, Griet Laenen, George D. Kritikos, Yves Moreau:
Applying Kernel Methods on Protein Complexes Detection Problem. EANN 2012: 463-471 - [c24]Dusan Popovic, Alejandro Sifrim, Georgios A. Pavlopoulos, Yves Moreau, Bart De Moor:
A Simple Genetic Algorithm for Biomarker Mining. PRIB 2012: 222-232 - [c23]Ernesto Iacucci, Dusan Popovic, Georgios A. Pavlopoulos, Léon-Charles Tranchevent, Marijke Bauters, Bart De Moor, Yves Moreau:
Towards Better Prioritization of Epigenetically Modified DNA Regions. SETN 2012: 270-277 - 2011
- [b1]Shi Yu, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau:
Kernel-based Data Fusion for Machine Learning - Methods and Applications in Bioinformatics and Text Mining. Studies in Computational Intelligence 345, Springer 2011, ISBN 978-3-642-19405-4, pp. 1-208 - [j34]Léon-Charles Tranchevent, Francisco Bonachela Capdevila, Daniela Nitsch, Bart De Moor, Patrick De Causmaecker, Yves Moreau:
A guide to web tools to prioritize candidate genes. Briefings Bioinform. 12(1): 22-32 (2011) - [j33]Shi Yu, Xinhai Liu, Léon-Charles Tranchevent, Wolfgang Glänzel, Johan A. K. Suykens, Bart De Moor, Yves Moreau:
Optimized data fusion for K-means Laplacian clustering. Bioinform. 27(1): 118-126 (2011) - [j32]Ernesto Iacucci, Fabian Ojeda, Bart De Moor, Yves Moreau:
Predicting Receptor-Ligand Pairs through Kernel Learning. BMC Bioinform. 12: 336 (2011) - [j31]Daniela Nitsch, Léon-Charles Tranchevent, Joana P. Gonçalves, Josef Korbinian Vogt, Sara C. Madeira, Yves Moreau:
PINTA: a web server for network-based gene prioritization from expression data. Nucleic Acids Res. 39(Web-Server-Issue): 334-338 (2011) - 2010
- [j30]Sven Schuierer, Léon-Charles Tranchevent, Uwe Dengler, Yves Moreau:
Large-scale benchmark of Endeavour using MetaCore maps. Bioinform. 26(15): 1922-1923 (2010) - [j29]Sylvain Brohée, Roland Barriot, Yves Moreau:
Biological knowledge bases using Wikis: combining the flexibility of Wikis with the structure of databases. Bioinform. 26(17): 2210-2211 (2010) - [j28]Shi Yu, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau:
Gene prioritization and clustering by multi-view text mining. BMC Bioinform. 11: 28 (2010) - [j27]Shi Yu, Tillmann Falck, Anneleen Daemen, Léon-Charles Tranchevent, Johan A. K. Suykens, Bart De Moor, Yves Moreau:
L2-norm multiple kernel learning and its application to biomedical data fusion. BMC Bioinform. 11: 309 (2010) - [j26]Kristof Theys, Koen Deforche, Gertjan Beheydt, Yves Moreau, Kristel Van Laethem, Philippe Lemey, Ricardo Camacho, Soo-Yon Rhee, Robert W. Shafer, Eric Van Wijngaerden, Anne-Mieke Vandamme:
Estimating the individualized HIV-1 genetic barrier to resistance using a nelfinavir fitness landscape. BMC Bioinform. 11: 409 (2010) - [j25]Daniela Nitsch, Joana P. Gonçalves, Fabian Ojeda, Bart De Moor, Yves Moreau:
Candidate gene prioritization by network analysis of differential expression using machine learning approaches. BMC Bioinform. 11: 460 (2010) - [j24]Xinhai Liu, Shi Yu, Frizo A. L. Janssens, Wolfgang Glänzel, Yves Moreau, Bart De Moor:
Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database. J. Assoc. Inf. Sci. Technol. 61(6): 1105-1119 (2010) - [c22]Ernesto Iacucci, Yves Moreau:
Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs. ICANN (1) 2010: 267-271 - [c21]Joana P. Gonçalves, Sara C. Madeira, Yves Moreau:
Network-Based Disease Candidate Gene Prioritization: Towards Global Diffusion in Heterogeneous Association Networks. NyNaK 2010
2000 – 2009
- 2009
- [j23]Joke Allemeersch, Steven Van Vooren, Femke Hannes, Bart De Moor, Joris Robert Vermeesch, Yves Moreau:
An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH. BMC Bioinform. 10: 380 (2009) - [c20]Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janssens, Bart De Moor, Wolfgang Glänzel:
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis. ICDM Workshops 2009: 521-526 - [c19]Xinhai Liu, Shi Yu, Yves Moreau, Bart De Moor, Wolfgang Glänzel, Frizo A. L. Janssens:
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets. SDM 2009: 49-60 - 2008
- [j22]Koen Deforche, Ricardo Camacho, Kristel Van Laethem, Philippe Lemey, Andrew Rambaut, Yves Moreau, Anne-Mieke Vandamme:
Estimation of an in vivo fitness landscape experienced by HIV-1 under drug selective pressure useful for prediction of drug resistance evolution during treatment. Bioinform. 24(1): 34-41 (2008) - [j21]Léon-Charles Tranchevent, Roland Barriot, Shi Yu, Steven Van Vooren, Peter Van Loo, Bert Coessens, Bart De Moor, Stein Aerts, Yves Moreau:
ENDEAVOUR update: a web resource for gene prioritization in multiple species. Nucleic Acids Res. 36(Web-Server-Issue): 377-384 (2008) - [c18]Shi Yu, Steven Van Vooren, Léon-Charles Tranchevent, Bart De Moor, Yves Moreau:
Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining. ECCB 2008: 119-125 - 2007
- [j20]Thomas Dhollander, Qizheng Sheng, Karen Lemmens, Bart De Moor, Kathleen Marchal, Yves Moreau:
Query-driven module discovery in microarray data. Bioinform. 23(19): 2573-2580 (2007) - [j19]Gert Sclep, Joke Allemeersch, Robin Liechti, Björn De Meyer, Jim Beynon, Rishikesh Bhalerao, Yves Moreau, Wilfried Nietfeld, Jean-Pierre Renou, Philippe Reymond, Martin T. R. Kuiper, Pierre Hilson:
CATMA, a comprehensive genome-scale resource for silencing and transcript profiling of Arabidopsis genes. BMC Bioinform. 8 (2007) - [j18]Koen Deforche, Ricardo Camacho, Kristel Van Laethem, Beth Shapiro, Yves Moreau, Andrew Rambaut, Anne-Mieke Vandamme, Philippe Lemey:
Estimating the Relative Contribution of dNTP Pool Imbalance and APOBEC3G/3F Editing to HIV Evolution In Vivo. J. Comput. Biol. 14(8): 1105-1114 (2007) - [c17]Tijl De Bie, Léon-Charles Tranchevent, Liesbeth M. M. van Oeffelen, Yves Moreau:
Kernel-based data fusion for gene prioritization. ISMB/ECCB (Supplement of Bioinformatics) 2007: 125-132 - 2006
- [j17]Koen Deforche, Tomi Silander, Ricardo Camacho, Zehava Grossman, M. A. Soares, Kristel Van Laethem, Rami Kantor, Yves Moreau, Anne-Mieke Vandamme:
Analysis of HIV-1 pol sequences using Bayesian Networks: implications for drug resistance. Bioinform. 22(24): 2975-2979 (2006) - [c16]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. ISMB (Supplement of Bioinformatics) 2006: 184-190 - [c15]Maja Hadzic, Bart De Moor, Yves Moreau, Arek Kasprzyk:
KSinBIT 2006 PC Co-chairs' Message. OTM Workshops (1) 2006: 647 - [c14]Bert Coessens, Stijn Christiaens, Ruben Verlinden, Yves Moreau, Robert Meersman, Bart De Moor:
Ontology Guided Data Integration for Computational Prioritization of Disease Genes. OTM Workshops (1) 2006: 689-698 - 2005
- [j16]Steffen Durinck, Yves Moreau, Arek Kasprzyk, Sean R. Davis, Bart De Moor, Alvis Brazma, Wolfgang Huber:
BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Bioinform. 21(16): 3439-3440 (2005) - [j15]Björn Menten, Filip Pattyn, Katleen De Preter, Piet Robbrecht, Evi Michels, Karen Buysse, Geert Mortier, Anne De Paepe, Steven Van Vooren, Joris Robert Vermeesch, Yves Moreau, Bart De Moor, Stefan Vermeulen, Frank Speleman, Jo Vandesompele:
arrayCGHbase: an analysis platform for comparative genomic hybridization microarrays. BMC Bioinform. 6: 124 (2005) - [j14]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. Nucleic Acids Res. 33(Web-Server-Issue): 393-396 (2005) - [p1]Qizheng Sheng, Yves Moreau, Frank De Smet, Kathleen Marchal, Bart De Moor:
Advances in Cluster Analysis of Microarray Data. Data Analysis and Visualization in Genomics and Proteomics 2005: 153-173 - 2004
- [j13]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. Artif. Intell. Medicine 30(3): 257-281 (2004) - [j12]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. Bioinform. 20(12): 1974-1976 (2004) - [j11]Steffen Durinck, Joke Allemeersch, Vincent Carey, Yves Moreau, Bart De Moor:
Importing MAGE-ML format microarray data into BioConductor. Bioinform. 20(18): 3641-3642 (2004) - 2003
- [j10]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. Artif. Intell. Medicine 29(1-2): 39-60 (2003) - [j9]Bart De Moor, Kathleen Marchal, Janick Mathys, Yves Moreau:
Bioinformatics: Organisms from Venus, Technology from Jupiter, Algorithms from Mars. Eur. J. Control 9(2-3): 237-278 (2003) - [j8]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. Nucleic Acids Res. 31(13): 3468-3470 (2003) - [c13]Stein Aerts, Peter Van Loo, Gert Thijs, Yves Moreau, Bart De Moor:
Computational detection of cis-regulatory modules. ECCB 2003: 5-14 - [c12]Qizheng Sheng, Yves Moreau, Bart De Moor:
Biclustering microarray data by Gibbs sampling. ECCB 2003: 196-205 - [c11]Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor:
Evaluation of the Vector Space Representation in Text-Based Gene Clustering. Pacific Symposium on Biocomputing 2003: 391-402 - [c10]Patrick Glenisson, Bert Coessens, Steven Van Vooren, Yves Moreau, Bart De Moor:
Text-Based Gene Profiling with Domain-Specific Views. SWDB 2003: 15-31 - 2002
- [j7]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. Bioinform. 18(2): 331-332 (2002) - [j6]Frank De Smet, Janick Mathys, Kathleen Marchal, Gert Thijs, Bart De Moor, Yves Moreau:
Adaptive quality-based clustering of gene expression profiles. Bioinform. 18(5): 735-746 (2002) - [j5]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. J. Comput. Biol. 9(2): 447-464 (2002) - [j4]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. Nucleic Acids Res. 30(1): 325-327 (2002) - [j3]Yves Moreau, Frank De Smet, Gert Thijs, Kathleen Marchal, Bart De Moor:
Functional bioinformatics of microarray data: from expression to regulation. Proc. IEEE 90(11): 1722-1743 (2002) - [c9]Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau:
Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS 2002: 282-287 - 2001
- [j2]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. Bioinform. 17(12): 1113-1122 (2001) - [c8]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. AIME 2001: 177-187 - [c7]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. RECOMB 2001: 305-312
1990 – 1999
- 1999
- [j1]Yves Moreau, Stéphane Louiès, Joos Vandewalle, Léon Brenig:
Embedding recurrent neural networks into predator-prey models. Neural Networks 12(2): 237-245 (1999) - [c6]Yves Moreau, Ellen Lerouge, Herman Verrelst, Joos Vandewalle, Christof Störmann, Peter Burge:
A hybrid system for fraud detection in mobile communications. ESANN 1999: 447-454 - 1998
- [c5]Yves Moreau, Joos Vandewalle:
To stop learning using the evidence. ESANN 1998: 303-308 - 1997
- [c4]Yves Moreau, Joos Vandewalle:
Composition methods for the integration of dynamical neural networks. ESANN 1997 - [c3]Yves Moreau, Herman Verrelst, Joos Vandewalle:
Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype. ICANN 1997: 1065-1070 - [c2]Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman:
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. NIPS 1997: 978-984 - 1996
- [c1]Yves Moreau, Joos Vandewalle:
Prediction of dynamical systems with composition networks. ESANN 1996
Coauthor Index
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