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
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