DocumentCode :
1991910
Title :
Reduction mappings and control policies for intervention in Boolean Networks
Author :
Ghaffari, Noushin ; Ivanov, Ivan ; Dougherty, Edward
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
fYear :
2008
fDate :
8-10 June 2008
Firstpage :
1
Lastpage :
2
Abstract :
Finding the control policies for intervention for large PBNs is a serious computational challenge. We study the effects of reduction mappings on the policy design. Our results suggest that for a specific class of network models, one can use the control policy designed on the reduced net work to approximate the control policy for the original model. The approximation fails only for intervention policies where the cost of applying control is small.
Keywords :
Boolean functions; biology computing; genetics; probabilistic logic; control policy design; intervention policy; model control policy; network models; probabilistic boolean networks; reduction mapping; Bioinformatics; Costs; Genomics; Intelligent networks; Optimal control; Partitioning algorithms; Physiology; Size control; Steady-state; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genomic Signal Processing and Statistics, 2008. GENSiPS 2008. IEEE International Workshop on
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4244-2371-2
Electronic_ISBN :
978-1-4244-2372-9
Type :
conf
DOI :
10.1109/GENSIPS.2008.4555673
Filename :
4555673
Link To Document :
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