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A computational approach based on the colored Petri net formalism for studying multiple sclerosis., , , , , , , , , и . BMC Bioinform., 20-S (6): 623 (декабря 2019)An Agent-Based Model to Support Infection Control Strategies at School., , , , , , , , , и . J. Artif. Soc. Soc. Simul., (2022)Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration., , , , , и . BIBM, стр. 2168-2175. IEEE, (2019)A new computational workflow to guide personalized drug therapy., , , , , , , и . J. Biomed. Informatics, (декабря 2023)A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations., , , , и . EPEW, том 13104 из Lecture Notes in Computer Science, стр. 22-43. Springer, (2021)Artificial intelligence methods for biomedical imaging and omics data., , , , , , , , и . Ital-IA, том 3486 из CEUR Workshop Proceedings, стр. 154-159. CEUR-WS.org, (2023)MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data., , , , , и . PDP, стр. 334-339. IEEE, (2019)OmniReprodubileCellAnalysis: a comprehensive toolbox for the analysis of cellular biology data., , , , , , , , , и 3 other автор(ы). BIBM, стр. 3748-3755. IEEE, (2023)ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data., , , , , и . PDP, стр. 423-429. IEEE Computer Society, (2018)GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis., , , , , , , , и . Euro-Par Workshops, том 11339 из Lecture Notes in Computer Science, стр. 626-637. Springer, (2018)