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A General Learning Rule for Network Modeling of Neuroimmune Interactome., , , , , , и . WIRN/NAIS, том 3931 из Lecture Notes in Computer Science, стр. 286-292. Springer, (2005)A mathematical model of murine macrophage infected with Leishmania sp., , , , и . BIBM, стр. 1425-1430. IEEE Computer Society, (2018)Harnessing computational models to uncover the role of the immune system in tuberculosis treatment., , , , и . BIBM, стр. 3725-3732. IEEE, (2023)Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices., , , , , и . BIBM, стр. 2214-2221. IEEE, (2019)A mathematical model of Chagas disease infection predicts inhibition of the immune system., , , , и . BIBM, стр. 1374-1379. IEEE Computer Society, (2018)Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine., , , и . EuroVA@EuroVis, стр. 25-29. Eurographics Association, (2022)Critical nodes reveal peculiar features of human essential genes and protein interactome., , , , , и . BIBM, стр. 2121-2128. IEEE, (2019)Memory and Selectivity in Evolving Scale-Free Immune Networks., , , , и . ICARIS, том 2787 из Lecture Notes in Computer Science, стр. 93-101. Springer, (2003)Network, degeneracy and bow tie Integrating paradigms and architectures to grasp the complexity of the immune system, , , , , , и . Theoretical Biology and Medical Modelling, 7 (1): 32+ (2010)DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing., , , и . BIBM, стр. 1879-1885. IEEE, (2022)