Stochastic simulation as an effective cell analysis tool

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stochastic Simulation is today a powerful tool to foresee possible dynamics of strict subsets of the real world. In recent years, it has been successfully employed in simulating cell dynamics with the aim of discovering exogenic quantities of chemicals able to deflect typical diseased simulation paths in healthy ones. This paper gives a large overview of the stochastic simulation environment and offers an example of a possible use of it on a pathway triggered by DNA damage.

Original languageEnglish
Title of host publicationAdvances and Innovations in Systems, Computing Sciences and Software Engineering
Pages427-432
Number of pages6
DOIs
Publication statusPublished - 2007
Event2006 International Conference on Systems, Computing Sciences and Software Engineering, SCSS 2006, Part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, CISSE 2006 -
Duration: Dec 4 2006Dec 14 2006

Other

Other2006 International Conference on Systems, Computing Sciences and Software Engineering, SCSS 2006, Part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering, CISSE 2006
Period12/4/0612/14/06

ASJC Scopus subject areas

  • Software

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    Mazza, T. (2007). Stochastic simulation as an effective cell analysis tool. In Advances and Innovations in Systems, Computing Sciences and Software Engineering (pp. 427-432) https://doi.org/10.1007/978-1-4020-6264-3_74