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Author Details

Yves Moreau
KU Leuven - University of Leuven
1967
193
50
PMIDPaper TitleJournal TitlePublished Year
36986760Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization.Pharmaceutics2023
37255310Nonlinear data fusion over Entity-Relation graphs for Drug-Target Interaction prediction.Bioinformatics2023
36986760Natural Lipid Extracts as an Artificial Membrane for Drug Permeability Assay: In Vitro and In Silico Characterization.Pharmaceutics2023
37255310Nonlinear data fusion over Entity-Relation graphs for Drug-Target Interaction prediction.Bioinformatics2023
34749246Corrigendum 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 Biomed2022
35561176Fast and accurate inference of gene regulatory networks through robust precision matrix estimation.Bioinformatics2022
35612220Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO).Stud Health Technol Inform2022
35669450HPMPdb: A machine learning-ready database of protein molecular phenotypes associated to human missense variants.Curr Res Struct Biol2022
35917745Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β.Mult Scler Relat Disord2022
36530385Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship.Front Bioinform2022
34792168From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing data.Nucleic Acids Res2022
35181656PyUUL provides an interface between biological structures and deep learning algorithms.Nat Commun2022
34749246Corrigendum 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 Biomed2022
35612220Augmenting THerapeutic Effectiveness Through Novel Analytics (ATHENA) - A Public and Private Partnership Project Funded by the Flemish Government (VLAIO).Stud Health Technol Inform2022
35669450HPMPdb: A machine learning-ready database of protein molecular phenotypes associated to human missense variants.Curr Res Struct Biol2022
35561176Fast and accurate inference of gene regulatory networks through robust precision matrix estimation.Bioinformatics2022
36530385Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship.Front Bioinform2022
35917745Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β.Mult Scler Relat Disord2022
35181656PyUUL provides an interface between biological structures and deep learning algorithms.Nat Commun2022
34792168From genotype to phenotype in Arabidopsis thaliana: in-silico genome interpretation predicts 288 phenotypes from sequencing data.Nucleic Acids Res2022
33441128Current cancer driver variant predictors learn to recognize driver genes instead of functional variants.BMC Biol2021
33542123Complicated legacies: The human genome at 20.Science2021
33456053ESHG warns against misuses of genetic tests and biobanks for discrimination purposes.Eur J Hum Genet2021
34146771Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression.Comput Methods Programs Biomed2021
33608647Correction: ESHG warns against misuses of genetic tests and biobanks for discrimination purposes.Eur J Hum Genet2021
33560405A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction.Bioinformatics2021
33983381In silico prediction of in vitro protein liquid-liquid phase separation experiments outcomes with multi-head neural attention.Bioinformatics2021
33441128Current cancer driver variant predictors learn to recognize driver genes instead of functional variants.BMC Biol2021
33278741Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research.Mult Scler Relat Disord2021
34610987Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis.Neurology2021
34876230Splitting chemical structure data sets for federated privacy-preserving machine learning.J Cheminform2021
33542123Complicated legacies: The human genome at 20.Science2021
33560405A novel method for data fusion over entity-relation graphs and its application to protein-protein interaction prediction.Bioinformatics2021
33608647Correction: ESHG warns against misuses of genetic tests and biobanks for discrimination purposes.Eur J Hum Genet2021
34876230Splitting chemical structure data sets for federated privacy-preserving machine learning.J Cheminform2021
34610987Associations of Disease-Modifying Therapies With COVID-19 Severity in Multiple Sclerosis.Neurology2021
33983381In silico prediction of in vitro protein liquid-liquid phase separation experiments outcomes with multi-head neural attention.Bioinformatics2021
34146771Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression.Comput Methods Programs Biomed2021
33456053ESHG warns against misuses of genetic tests and biobanks for discrimination purposes.Eur J Hum Genet2021
33278741Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research.Mult Scler Relat Disord2021
32459810Structure-based drug repositioning explains ibrutinib as VEGFR2 inhibitor.PLoS One2020
32419905Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs.Comput Struct Biotechnol J2020
32352965Insight into the protein solubility driving forces with neural attention.PLoS Comput Biol2020
32459810Structure-based drug repositioning explains ibrutinib as VEGFR2 inhibitor.PLoS One2020
33575557An interpretable low-complexity machine learning framework for robust exome-based <i>in</i>-<i>silico</i> diagnosis of Crohn's disease patients.NAR Genom Bioinform2020
32924466ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning.J Chem Inf Model2020
33575557An interpretable low-complexity machine learning framework for robust exome-based <i>in</i>-<i>silico</i> diagnosis of Crohn's disease patients.NAR Genom Bioinform2020
32924466ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning.J Chem Inf Model2020
32419905Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs.Comput Struct Biotechnol J2020
32352965Insight into the protein solubility driving forces with neural attention.PLoS Comput Biol2020
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Collaborators

Bart De Moor
STADIUS Center for Dynamical Systems
Co-authored papers 48
L??on-Charles Tranchevent
University of Luxembourg
Co-authored papers 28
Peter Van Loo
The Francis Crick Institute
Co-authored papers 13
Steven Van Vooren
Katholieke Universiteit Leuven
Co-authored papers 12
Gert Thijs
Co-authored papers 10
Amin Ardeshirdavani
STADIUS Center for Dynamical Systems
Co-authored papers 9
Jan Aerts
Co-authored papers 9
Thierry Voet
KU Leuven Institute for Single Cell Omics (LISCO)
Co-authored papers 8
Bert Coessens
Katholieke Universiteit Leuven
Co-authored papers 7
Kasper Lage
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Steffen Durinck
Genentech Inc.
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Peter J Campbell
Wellcome Sanger Institute
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Pooya Zakeri
Aarhus University
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David C Wedge
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Sarah ElShal
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Bassem T Elhassan
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Michael R Stratton
Wellcome Sanger Institute
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Martin Kuiper
Norwegian University of Science and Technology
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Ole Christian Lingj??rde
University of Oslo
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Christopher T Workman
Technical University of Denmark
Co-authored papers 3
Paul Van Hummelen
Co-authored papers 3
Anne-Lise B??rresen-Dale
Institute for Cancer Research, Oslo University Hospital
Co-authored papers 3
Jo Vandesompele
Co-authored papers 3
Giancarlo Comi
Co-authored papers 3
Jonas Demeulemeester
VIB-KU Leuven Center for Cancer Biology
Co-authored papers 3
Vessela N Kristensen
Faculty of Clinical Medicine, University of Oslo
Co-authored papers 3
Philippe Lemey
Rega Institute, Laboratory of Clinical and Evolutionary Virology
Co-authored papers 3
Kevin P White
Co-authored papers 3
Hans Kristian Moen Vollan
F Hoffmann-La Roche Ltd
Co-authored papers 3
Jan Hillert
Co-authored papers 2
Release 1.2