Articles dans des revues avec comité de lecture (128)
  1. 12. Piron, A., Szymczak, F., Papadopoulou, T., Alvelos, M. I., Defrance, M., Lenaerts, T., Eizirik, D. L., & Cnop, M. (2023). RedRibbon: A new rank–rank hypergeometric overlap for gene and transcript expression signatures. Life science alliance, 7(2), e202302203. doi:10.26508/lsa.202302203
  2. 13. Boutry, S., Helaers, R., Lenaerts, T., & Vikkula, M. (2023). Rare variant association on unrelated individuals in case–control studies using aggregation tests: existing methods and current limitations. Briefings in bioinformatics, 24(6). doi:10.1093/bib/bbad412
  3. 14. Boutry, S., Helaers, R., Lenaerts, T., & Vikkula, M. (2023). Excalibur: A new ensemble method based on an optimal combination of aggregation tests for rare-variant association testing for sequencing data. PLoS computational biology, 19(9), e1011488. doi:10.1371/journal.pcbi.1011488
  4. 15. Renaux, A., Terwagne, C. C., Cochez, M., Tiddi, I., Nowe, A., & Lenaerts, T. (2023). A knowledge graph approach to predict and interpret disease-causing gene interactions. BMC bioinformatics, 24(1). doi:10.1186/s12859-023-05451-5
  5. 16. Abels, A., Lenaerts, T., Trianni, V., & Nowé, A. (2023). Dealing with expert bias in collective decision-making. Artificial intelligence, 320, 103921. doi:10.1016/j.artint.2023.103921
  6. 17. Abels, A., Lenaerts, T., Trianni, V., & Nowe, A. (2023). Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. Proceedings of Machine Learning Research, 202, 79-90.
  7. 18. Versbraegen, N., Gravel, B., Nachtegael, C., Renaux, A., Verkinderen, E., Nowe, A., Lenaerts, T., & Papadimitriou, S. (2023). Faster and more accurate pathogenic combination predictions with VarCoPP2.0. BMC bioinformatics, 24(1). doi:10.1186/s12859-023-05291-3
  8. 19. Fernandez Domingos, E., Santos, F. C., & Lenaerts, T. (2023). EGTtools: Evolutionary game dynamics in Python. iScience, 26(4), 106419. doi:10.1016/j.isci.2023.106419
  9. 20. Jacquemin, V., Versbraegen, N., Duerinckx, S., Massart, A., Soblet, J., Perazzolo, C., Deconinck, N., Brischoux-Boucher, E., De Leener, A., Revencu, N., Janssens, S., Moorgat, S., Blaumeiser, B., Avela, K., Touraine, R., Abou Jaoude, I., Keymolen, K., Saugier-Veber, P., Lenaerts, T., Abramowicz, M., & Pirson, I. (2023). Congenital hydrocephalus: new Mendelian mutations and evidence for oligogenic inheritance. Human genomics, 17(1), 16. doi:10.1186/s40246-023-00464-w
  10. 21. Papadimitriou, S., Gravel, B., Nachtegael, C., De Baere, E., Loeys, B., Vikkula, M., Smits, G., & Lenaerts, T. (2023). Toward reporting standards for the pathogenicity of variant combinations involved in multilocus/oligogenic diseases. Human Genetics and Genomics Advances, 4(1), 100165. doi:10.1016/j.xhgg.2022.100165
  11. 22. Fernandez Domingos, E., Terrucha, I., Suchon, R., Grujić, J., Burguillo, J. J., Santos, F. C., & Lenaerts, T. (2022). Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma. Scientific reports, 12(1), 8492. doi:10.1038/s41598-022-11518-9
  12. 23. Montero-Porras, E., Grujić, J., Fernandez Domingos, E., & Lenaerts, T. (2022). Inferring strategies from observations in long iterated Prisoner’s dilemma experiments. Scientific reports, 12(1), 7589. doi:10.1038/s41598-022-11654-2
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