Article Versions Notes

Ruzicka J, Ravel J-M, Audoux J, Boulat A, Thévenon J, Yauy K, Dancer M, Raymond L, Lombardi Y, Philippe N, et al. Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing. Current Issues in Molecular Biology. 2026; 48(7):706. https://doi.org/10.3390/cimb48070706

Ruzicka, Jiri, Jean-Marie Ravel, Jérôme Audoux, Alexandre Boulat, Julien Thévenon, Kévin Yauy, Marine Dancer, Laure Raymond, Yannis Lombardi, Nicolas Philippe, and et al. 2026. "Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing" Current Issues in Molecular Biology 48, no. 7: 706. https://doi.org/10.3390/cimb48070706

Ruzicka, J., Ravel, J.-M., Audoux, J., Boulat, A., Thévenon, J., Yauy, K., Dancer, M., Raymond, L., Lombardi, Y., Philippe, N., Blum, M. G., Duforet-Frebourg, N., & Mesnard, L. (2026). Integration of Machine Learning-Based Pathogenicity Prediction and Phenotype Matching Improves Variant Prioritization in Rare Clinical Testing. Current Issues in Molecular Biology, 48(7), 706. https://doi.org/10.3390/cimb48070706