Predicting disease-causing variant combinations S Papadimitriou, A Gazzo, N Versbraegen, C Nachtegael, J Aerts, ... Proceedings of the National Academy of Sciences 116 (24), 11878-11887, 2019 | 105 | 2019 |
ORVAL: a novel platform for the prediction and exploration of disease-causing oligogenic variant combinations A Renaux, S Papadimitriou, N Versbraegen, C Nachtegael, S Boutry, ... Nucleic acids research 47 (W1), W93-W98, 2019 | 69 | 2019 |
Scaling up oligogenic diseases research with OLIDA: the oligogenic diseases database C Nachtegael, B Gravel, A Dillen, G Smits, A Nowé, S Papadimitriou, ... Database 2022, baac023, 2022 | 23 | 2022 |
Enhanced processivity of Dnmt1 by monoubiquitinated histone H3 Y Mishima, L Brueckner, S Takahashi, T Kawakami, J Otani, A Shinohara, ... Genes to Cells 25 (1), 22-32, 2020 | 18 | 2020 |
Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases N Versbraegen, A Fouché, C Nachtegael, S Papadimitriou, A Gazzo, ... Artificial intelligence in medicine 99, 101690, 2019 | 15 | 2019 |
The role of D4Z4-encoded proteins in the osteogenic differentiation of mesenchymal stromal cells isolated from bone marrow L de la Kethulle de Ryhove, E Ansseau, C Nachtegael, K Pieters, ... Stem cells and development 24 (22), 2674-2686, 2015 | 13 | 2015 |
Faster and more accurate pathogenic combination predictions with VarCoPP2. 0 N Versbraegen, B Gravel, C Nachtegael, A Renaux, E Verkinderen, ... BMC bioinformatics 24 (1), 179, 2023 | 7 | 2023 |
Toward reporting standards for the pathogenicity of variant combinations involved in multilocus/oligogenic diseases S Papadimitriou, B Gravel, C Nachtegael, E De Baere, B Loeys, M Vikkula, ... Human Genetics and Genomics Advances 4 (1), 100165, 2023 | 7 | 2023 |
DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations C Nachtegael, J De Stefani, A Cnudde, T Lenaerts Database 2024, baae039, 2024 | 1 | 2024 |
A study of deep active learning methods to reduce labelling efforts in biomedical relation extraction C Nachtegael, J De Stefani, T Lenaerts PloS one 18 (12), e0292356, 2023 | 1 | 2023 |
ALAMBIC: Active Learning Automation with Methods to Battle Inefficient Curation C Nachtegael, J De Stefani, T Lenaerts 17th Conference of the European Chapter of the Association for Computational …, 2023 | 1 | 2023 |
Active learning for biomedical relation extraction, the oligogenic use case C Nachtegael Université libre de Bruxelles, 2024 | | 2024 |
The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases B Gravel, S Papadimitriou, C Nachtegael, E De Baere, B Loeys, M Vikkula, ... | | 2023 |
The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases C Nachtegael, S Papadimitriou, B Gravel, E De Baere, B Loeys, M Vikkula, ... | | 2023 |
The importance of good data quality and proper pathogenicity reporting in the medical genetics field: the case of oligogenic diseases S Papadimitriou, B Gravel, C Nachtegael, E De Baere, B Loeys, M Vikkula, ... Rare Med Symposium, 2022 | | 2022 |
Taking the prediction of pathogenic variant-combinations to the next level with VarCoPP2. 0 N Versbraegen, B Gravel, C Nachtegael, A Renaux, E Verkinderen, ... | | 2022 |
OLIDA: a FAIR, Community-driven Oligogenic Diseases Database A Dillen, C Nachtegael, A Renaux, S Papadimitriou, N Versbraegen, ... | | 2020 |
Towards oligogenic disease prediction with ORVAL: a web-platform to uncover pathogenic variant combinations A Renaux 27th conference on Intelligent Systems for Molecular Biology and 18th …, 2019 | | 2019 |
Predicting disease-causing variant combinations for oligogenic diseases S Papadimitriou, A Gazzo, N Versbraegen, C Nachtegael, J Aerts, ... Applied Bioinformatics in Life Sciences: 2nd edition, 2018 | | 2018 |
First insights into the oligogenic potential of DDD patient C Nachtegael, S Papadimitriou, N Versbraegen, G Smits, T Lenaerts | | 2018 |