Hybrid simulation of cellular behavior | Zendy

Thomas R. Kiehl | Zendy; R. M. Mattheyses | Zendy; Melvin K. Simmons | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Hybrid simulation of cellular behavior

Author(s) -

Thomas R. Kiehl,

R. M. Mattheyses,

Melvin K. Simmons

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg409

Subject(s) - computer science , stochastic simulation , synchronizing , hybrid system , monte carlo method , scaling , discrete event simulation , algorithm , simulation , machine learning , mathematics , geometry , transmission (telecommunications) , telecommunications , statistics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research