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Network, degeneracy and bow tie Integrating paradigms and architectures to grasp the complexity of the immune system

, , , , , , and . Theoretical Biology and Medical Modelling, 7 (1): 32+ (2010)
DOI: 10.1186/1742-4682-7-32

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A General Learning Rule for Network Modeling of Neuroimmune Interactome., , , , , , and . WIRN/NAIS, volume 3931 of Lecture Notes in Computer Science, page 286-292. Springer, (2005)Harnessing computational models to uncover the role of the immune system in tuberculosis treatment., , , , and . BIBM, page 3725-3732. IEEE, (2023)A mathematical model of murine macrophage infected with Leishmania sp., , , , and . BIBM, page 1425-1430. IEEE Computer Society, (2018)Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices., , , , , and . BIBM, page 2214-2221. IEEE, (2019)Toward Disease Diagnosis Visual Support Bridging Classic and Precision Medicine., , , and . EuroVA@EuroVis, page 25-29. Eurographics Association, (2022)A mathematical model of Chagas disease infection predicts inhibition of the immune system., , , , and . BIBM, page 1374-1379. IEEE Computer Society, (2018)Network, degeneracy and bow tie Integrating paradigms and architectures to grasp the complexity of the immune system, , , , , , and . Theoretical Biology and Medical Modelling, 7 (1): 32+ (2010)DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing., , , and . BIBM, page 1879-1885. IEEE, (2022)Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices., , , , , and . BMC Bioinform., 21-S (17): 508 (2020)Critical nodes reveal peculiar features of human essential genes and protein interactome., , , , , and . BIBM, page 2121-2128. IEEE, (2019)