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Grosfils, A., Dehouck, Y., Gilis, D., Rooman, M., & Bogaerts, P. (2008). Neural networks to predict protein stability changes upon mutation. IFAC Proceedings Volumes. Vol. 41 (pp. 12619-12624) 17th IFAC World congress(6-11/7/2008: Seoul, Korea).17.
Rooman, M., Wodak, S., & Kocher, J.-P. (1993). Prediction of regions with well defined conformational preferences in proteins, and their relevance to protein folding. In Computer Aided Innovation of New Materials: Proceedings of the First International Conference and Exhibition on Computer Applications to Materials (pp. 1229-1235) Elsevier Science Publishers, edt by M. Doyama, T. Suzuki, J. Kihara, R. Yamamoto. Participations à des congrès et colloques internationaux (11)
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Cia Beriain, G., Pucci, F., Ancien, F., Raimondi, D., Vranken, W. F., & Rooman, M. (2022). Leveraging structural, evolutionary and contextual information to develop explainable models for deleterious variant prediction. Abstract session presented at Critical Assessment of Genome Interpretation