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A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2., , , , , , , , , и . BMC Medical Informatics Decis. Mak., 22 (1): 340 (2022)From Compositional Petri Net Modeling to Macro and Micro Simulation by Means of Stochastic Simulation and Agent-Based Models., , , , , и . ACM Trans. Model. Perform. Evaluation Comput. Syst., 9 (1): 1:1-1:30 (марта 2024)Continuous Petri Nets and microRNA Analysis in Melanoma., , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (5): 1492-1499 (2018)In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform., , , , , , и . BMC Bioinform., 21-S (17): 527 (2020)Toward computational modelling on immune system function., , , и . BMC Bioinform., 20-S (6): 622 (декабря 2019)Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets., , , , и . BIBM, стр. 1393-1400. IEEE Computer Society, (2018)A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates., , , , , и . BIBM, стр. 2157-2162. IEEE, (2019)A mathematical model to study breast cancer growth., , , , , и . BIBM, стр. 1438-1445. IEEE Computer Society, (2017)BIOESOnet: A Tool for the Generation of Personalized Human Metabolic Pathways from 23andMe Exome Data., , , , , , и . ICIC (2), том 10955 из Lecture Notes in Computer Science, стр. 345-352. Springer, (2018)2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions., , , , и . ICIC (2), том 10362 из Lecture Notes in Computer Science, стр. 145-154. Springer, (2017)