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Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUs., , , , и . GECCO (Companion), стр. 1421-1422. ACM, (2012)popFBA: tackling intratumour heterogeneity with Flux Balance Analysis., , , , , и . Bioinform., 33 (14): i311-i318 (2017)Tau Leaping Stochastic Simulation Method in P Systems., , , и . Workshop on Membrane Computing, том 4361 из Lecture Notes in Computer Science, стр. 298-313. Springer, (2006)A Novel Variant of P Systems for the Modelling and Simulation of Biochemical Systems., , , , и . Workshop on Membrane Computing, том 5957 из Lecture Notes in Computer Science, стр. 210-226. Springer, (2009)A metabolic core model elucidates how enhanced utilization of glucose and glutamine, with enhanced glutamine-dependent lactate production, promotes cancer cell growth: The WarburQ effect., , , , , , , , и . PLoS Comput. Biol., (2017)GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction., , и . PLoS Comput. Biol., (2021)Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata., , , , , , , и . CIBB, том 12313 из Lecture Notes in Computer Science, стр. 207-215. Springer, (2019)Investigating Local Evolutions in Dynamical Probabilistic P Systems., , и . SYNASC, стр. 440-447. IEEE Computer Society, (2005)Analysis and Simulation of Dynamics in Probabilistic P Systems., , , и . DNA, том 3892 из Lecture Notes in Computer Science, стр. 236-247. Springer, (2005)A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series., , , , и . EvoBIO, том 7246 из Lecture Notes in Computer Science, стр. 74-85. Springer, (2012)