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Published in Nucleic Acids Research, 2019
Ribeiro, D. M., Briere, G., Bely, B., Spinelli, L., & Brun, C. (2019). MoonDB 2.0: an updated database of extreme multifunctional and moonlighting proteins. Nucleic Acids Research, 47(D1), D398–D402. https://doi.org/10.1093/nar/gky1039
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Published in Neuropsychopharmacology, 2021
Leyrolle, Q., Decoeur, F., Briere, G., Amadieu, C., Quadros, A. R. A. D. A., Voytyuk, I., ... & Nadjar, A. (2021). Maternal dietary omega-3 deficiency worsens the deleterious effects of prenatal inflammation on the gut-brain axis in the offspring across lifetime. Neuropsychopharmacology, 46(3), 579–602. https://doi.org/10.1038/s41386-020-00793-7
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Published in BMC Bioinformatics, 2021
Brière, G., Darbo, É., Thébault, P., & Uricaru, R. (2021). Consensus clustering applied to multi-omics disease subtyping. BMC Bioinformatics, 22(1), 361. https://doi.org/10.1186/s12859-021-04279-1
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Published in Glia, 2022
Leyrolle, Q., Decoeur, F., Dejean, C., Brière, G., Leon, S., Bakoyiannis, I., ... & Nadjar, A. (2022). N-3 PUFA deficiency disrupts oligodendrocyte maturation and myelin integrity during brain development. Glia, 70(1), 50–70. https://doi.org/10.1002/glia.24088
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PhD thesis, University of Bordeaux, 2022
Briere, G. (2022). Methodological developments for omic data integration : applications to oncology and neurosciences, Bordeaux).
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JOBIM, 2022
BRIÈRE G, NADJAR N, URICARU R and THÉBAULT P. Condition-specific and recurrent perturbation communities in multiple differential co-expression networks.
RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM Challenges (Los Angeles), 2023
Published in BMC Bioinformatics, 2024
Baptista, A., Brière, G., & Baudot, A. (2024). Random walk with restart on multilayer networks: from node prioritisation to supervised link prediction and beyond. BMC Bioinformatics, 25(1), 70. https://doi.org/10.1186/s12859-024-05683-z
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Published in Advanced Biology, 2024
Beust, C., Valdeolivas, A., Baptista, A., Brière, G., Lévy, N., Ozisik, O., & Baudot, A. (2024). The molecular landscape of premature aging diseases defined by multilayer network exploration. Advanced Biology, 8(11), 2400134. https://doi.org/10.1002/adbi.202400134
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ESHG 2025 (Proceedings), 2025
Berardelli, S., Gazzo, A., De Paoli, F., Briere, G., Loire, B., Limongelli, I., ... & Zucca, S. (2025). Phenotypes extraction from clinical descriptions using Large Language Models. In Proceedings of ESHG 2025. ESHG Conference Organiser.
Published in bioRxiv, 2025
Briere, G., Stosskopf, T., Loire, B., & Baudot, A. (2025). Benchmarking the Impact of Data Leakage on the Performance of Knowledge Graph Embedding Models for Biomedical Link Prediction. bioRxiv. https://doi.org/10.1101/2025.01.23.634511
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Published in medRxiv, 2025
Brière, G., Beust, C., Térézol, M., & Baudot, A. (2025). Using Networks and Prior Knowledge to Uncover novel Rare Disease Phenotypes. medRxiv. https://doi.org/10.1101/2025.04.02.25325098
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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