基本信息
浏览量:128
职业迁徙
个人简介
Current project I’m involved in;
1. Analysis of oligogenic diseases using machine learning and other AI techniques (ARC project and FEDER iCity project)
2. Understanding human behaviour in social dilemmas like the prisoners dilemma, public goods games and the collective risk dilemma (FuturICT, FNRS and FWO projects)
3. Evolutionary game theoretical modelling of behaviour (FuturICT, FNRS and FWO projects)
4. Human-AI trust and cooperation (FWO DELICIOS project)
Some recent highlights
In Computational Biology and Bioinformatics
Papadimitriou S., Gazzo A., Versbraegen N., Nachtegael C., Aerts J., Moreau Y., Van Dooren S., Nowé A., Smits G., Lenaerts T. (2019) Predicting disease-causing variant combinations. Proceedings of the National Academy of Sciences USA. 116 (24), 11878-11887.
Versbraegen N., Fouché A., Nachtegael C., Papadimitriou S., Gazzo A., Smits G., Lenaerts T.(2019) Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases. Artificial Intelligence in Medicine. 99, 101690.
Renaux A., Papadimitriou S., Versbraegen N., Nachtegael C., Boutry S., Nowé A., Smits G., Lenaerts T. (2019) ORVAL: A novel platform for the prediction and exploration of disease-causing oligogenic variant combinations. Nucleic Acids Research, , 47 : W93–W98.
Nathaniel Mon Père, Tom Lenaerts, Jorge M. Pacheco and David Dingli (2018) Evolutionary dynamics of paroxysmal nocturnal hemoglobinuria. PLoS Computational Biology 14(6): e1006133.
Andrea Gazzo, Daniele Raimondi, Dorien Danneels, Yves Moreau, Guillaume Smits, Sonia Van Dooren and Tom Lenaerts (2017) Understanding mutational effects in digenic diseases. Nucleic Acid Research. 45(15):e140
Claudio Reggiani, Sandra Coppens, Tayeb Sekhara, Ivan Dimov, Bruno Pichon, Nicolas Lufin, Tom Lenaerts, Georges Casimir, Marc Abramowicz, Gianluca Bontempi, Catheline Vilain, Nicolas Deconinck and Guillaume Smits (2017) Novel promoters and coding first exons in DLG2 linked to Developmental Disorders and Intellectual Disability Genome Medicine 9(1):67
1. Analysis of oligogenic diseases using machine learning and other AI techniques (ARC project and FEDER iCity project)
2. Understanding human behaviour in social dilemmas like the prisoners dilemma, public goods games and the collective risk dilemma (FuturICT, FNRS and FWO projects)
3. Evolutionary game theoretical modelling of behaviour (FuturICT, FNRS and FWO projects)
4. Human-AI trust and cooperation (FWO DELICIOS project)
Some recent highlights
In Computational Biology and Bioinformatics
Papadimitriou S., Gazzo A., Versbraegen N., Nachtegael C., Aerts J., Moreau Y., Van Dooren S., Nowé A., Smits G., Lenaerts T. (2019) Predicting disease-causing variant combinations. Proceedings of the National Academy of Sciences USA. 116 (24), 11878-11887.
Versbraegen N., Fouché A., Nachtegael C., Papadimitriou S., Gazzo A., Smits G., Lenaerts T.(2019) Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases. Artificial Intelligence in Medicine. 99, 101690.
Renaux A., Papadimitriou S., Versbraegen N., Nachtegael C., Boutry S., Nowé A., Smits G., Lenaerts T. (2019) ORVAL: A novel platform for the prediction and exploration of disease-causing oligogenic variant combinations. Nucleic Acids Research, , 47 : W93–W98.
Nathaniel Mon Père, Tom Lenaerts, Jorge M. Pacheco and David Dingli (2018) Evolutionary dynamics of paroxysmal nocturnal hemoglobinuria. PLoS Computational Biology 14(6): e1006133.
Andrea Gazzo, Daniele Raimondi, Dorien Danneels, Yves Moreau, Guillaume Smits, Sonia Van Dooren and Tom Lenaerts (2017) Understanding mutational effects in digenic diseases. Nucleic Acid Research. 45(15):e140
Claudio Reggiani, Sandra Coppens, Tayeb Sekhara, Ivan Dimov, Bruno Pichon, Nicolas Lufin, Tom Lenaerts, Georges Casimir, Marc Abramowicz, Gianluca Bontempi, Catheline Vilain, Nicolas Deconinck and Guillaume Smits (2017) Novel promoters and coding first exons in DLG2 linked to Developmental Disorders and Intellectual Disability Genome Medicine 9(1):67
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PLOS ONEno. 2 (2024): e0297213-e0297213
Bioinformatics (Oxford, England) (2024)
arxiv(2024)
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ISCIENCEno. 2 (2024): 108862-108862
CoRR (2023): 79-90
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BRIEFINGS IN BIOINFORMATICSno. 6 (2023)
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