DocumentCode :
917721
Title :
Stochastic modeling and simulation of gene networks - A review of the state-of-the-art research on stochastic simulations
Author :
Cai, Xiaodong ; Wang, Xiaodong
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL
Volume :
24
Issue :
1
fYear :
2007
Firstpage :
27
Lastpage :
36
Abstract :
This paper provides a comprehensive review of the state-of-the-art research on stochastic simulations. It stimulates the interest of tackling the problem of stochastic simulation using statistical signal processing methods, as well as innovative thinking of stochastic modeling of gene networks from the viewpoint of signal processing
Keywords :
biological techniques; biology computing; genetic engineering; signal processing; statistical analysis; stochastic processes; gene network simulation; statistical signal processing methods; stochastic modeling; stochastic simulations; Biological system modeling; Computational modeling; Computer networks; DNA; Gene expression; Kinetic theory; Polymers; RNA; Stochastic processes; Working environment noise;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.273051
Filename :
4049910
Link To Document :
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