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Hybrid simulation of cellular behavior
2004
Bioinformatics
Motivation: To be valuable to biological or biomedical research, in silico methods must be scaled to complex pathways and large numbers of interacting molecular species. The correct method for performing such simulations, discrete event simulation by Monte Carlo generation, is computationally costly for large complex systems. Approximation of molecular behavior by continuous models fails to capture stochastic behavior that is essential to many biological phenomena. Results: We present a novel
doi:10.1093/bioinformatics/btg409
pmid:14960457
fatcat:5qwxgaahqfgfvnjlgyww6lbaem