Research topics: Applications of Computational Biology, Artificial Intelligence, Clinical data, Computational Methods, Computational models and simulations, Data Analysis, Deep Learning in Biology, Function prediction, Functional genomics, Gene regulatory networks, Integrative Analysis, Large language models, Machine Learning in Biology, Microbial Communities, Network Biology, Omics, Pathway analysis, Personal medicine, Plant genomics, Regulatory biology, Statistical Methods for Biology, Systems Biology
Publications
Gouiaa, F., Vomo-Donfack, K. L., Tran-Dinh, A., & Morilla, I. (2024). Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction. Computers in Biology and Medicine, 169(107969), 107969. doi:10.1016/j.compbiomed.2024.107969
Gauthier, S., Tran-Dinh, A., & Morilla, I. (2023). Plasma proteome dynamics of COVID-19 severity learnt by a graph convolutional network of multi-scale topology. Life Science Alliance, 6(5), e202201624. doi:10.26508/lsa.202201624
Abaach, M., & Morilla, I. (2023). GeoTop: Advancing image classification with geometric-topological analysis. Retrieved from http://arxiv.org/abs/2311.16157
Tran-Dinh, A., Laurent, Q., Even, G., Tanaka, S., Lortat-Jacob, B., Castier, Y., … Morilla, I. (2022). Personalized risk predictor for acute cellular rejection in lung transplant using soluble CD31. Scientific Reports, 12(1), 17628. doi:10.1038/s41598-022-21070-1
Benadjaoud, M. A., Soysouvanh, F., Tarlet, G., Paget, V., Buard, V., Santos de Andrade, H., … Milliat, F. (2022). Deciphering the dynamic molecular program of radiation-induced endothelial senescence. International Journal of Radiation Oncology, Biology, Physics, 112(4), 975–985. doi:10.1016/j.ijrobp.2021.11.019
Morilla, I., Chan, P., Caffin, F., Svilar, L., Selbonne, S., Ladaigue, S., … Guipaud, O. (2022). Deep models of integrated multiscale molecular data decipher the endothelial cell response to ionizing radiation. iScience, 25(1), 103685. doi:10.1016/j.isci.2021.103685
Morilla, I., Uzzan, M., Cazals-Hatem, D., Colnot, N., Panis, Y., Nancey, S., … Daniel, F. (2021). Computational learning of microRNA-based prediction of pouchitis outcome after restorative proctocolectomy in patients with ulcerative colitis. Inflammatory Bowel Diseases, 27(10), 1653–1660. doi:10.1093/ibd/izab030
Morilla, I. (2020). A deep learning approach to evaluate intestinal fibrosis in magnetic resonance imaging models. Neural Computing & Applications, 32(18), 14865–14874. doi:10.1007/s00521-020-04838-2
Morilla, I., Uzzan, M., Laharie, D., Cazals-Hatem, D., Denost, Q., Daniel, F., … Treton, X. (2019). Colonic MicroRNA profiles, identified by a deep learning algorithm, that predict responses to therapy of patients with acute severe ulcerative colitis. Clinical Gastroenterology and Hepatology: The Official Clinical Practice Journal of the American Gastroenterological Association, 17(5), 905–913. doi:10.1016/j.cgh.2018.08.068
Sharma, A., Heinze, S. D., Wu, Y., Kohlbrenner, T., Morilla, I., Brunner, C., … Bopp, D. (2017). Male sex in houseflies is determined by Mdmd , a paralog of the generic splice factor gene CWC22. Science (New York, N.Y.), 356(6338), 642–645. doi:10.1126/science.aam5498
