Sauter, T., Bintener, T., Kishk, A., Presta, L., Prohaska, T., Guignard, D., Zeng, N., Cipriani, C., Arshad, S., Pfau, T., Martins Conde, P., & Pires Pacheco, M. I. (2022). Project-based learning course on metabolic network modelling in computational systems biology. PLoS Computational Biology, 18 (1), 1009711. doi:10.1371/journal.pcbi.1009711 Peer Reviewed verified by ORBi |
Martins Conde, P., Pfau, T., Pires Pacheco, M. I., & Sauter, T. (2021). A dynamic multi-tissue model to study human metabolism. NPJ Systems Biology and Applications, 7 (1), 5. doi:10.1038/s41540-020-00159-1 Peer Reviewed verified by ORBi |
Martins Conde, P., Sauter, T., & Nguyen, T.-P. (2020). An efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis. Scientific Reports, 10 (1), 20613. doi:10.1038/s41598-020-77367-6 Peer Reviewed verified by ORBi |
Martins Conde, P. (2019). MODELING HUMAN METABOLISM: A DYNAMIC MULTI-TISSUE APPROACH [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/39143 |
Martins Conde, P., Sauter, T., & Pfau, T. (2016). Constraint based modelling going multicellular. Frontiers in Molecular Biosciences, 3 (3). doi:10.3389/fmolb.2016.00003 Peer Reviewed verified by ORBi |
Heintz, A., May, P., Lebrun, L., Ferrand, J., Trezzi, J.-P., Collignon, S., Wampach, L., Glaab, E., Laczny, C. C., Martins Conde, P., Kaysen, A., Schneider, J., Hiller, K., Hogan, A., Wilmes, P., & de Beaufort, C. (October 2013). Meta-omic Analyses of the Microbiome in a Family Study of Diabetes Mellitus [Poster presentation]. 2nd International Systems Biomedicine Symposium, Belval, Luxembourg. |