DocumentCode :
3542449
Title :
A novel critical time analysis approach for genetic regulatory networks
Author :
Bhattacharya, Sonal ; Pal, Ranadip
Author_Institution :
Electr. & Comput. Engineeirng Dept., Texas Tech Univ., Lubbock, TX, USA
fYear :
2011
fDate :
4-6 Dec. 2011
Firstpage :
29
Lastpage :
32
Abstract :
The expression levels of certain molecular markers can show signs of the beginning of a disease. Effective treatment of the disease demands the identification of the time point when the probability of the corresponding genetic state reaches a critical value. This paper presents a new methodology which utilizes eigenvalue decomposition of the reaction matrix of the system that enables us to use efficient bisection method for finding the aforementioned critical time point. The results show significant improvement of computational efficiency over existing fine scale models based on Stochastic Master Equations.
Keywords :
diseases; eigenvalues and eigenfunctions; genetics; medical diagnostic computing; molecular biophysics; stochastic processes; bisection method; critical time analysis; disease; eigenvalue decomposition; genetic regulatory networks; reaction matrix; stochastic master equations; Computational modeling; Diseases; Eigenvalues and eigenfunctions; Equations; Genetics; Mathematical model; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on
Conference_Location :
San Antonio, TX
ISSN :
2150-3001
Print_ISBN :
978-1-4673-0491-7
Electronic_ISBN :
2150-3001
Type :
conf
DOI :
10.1109/GENSiPS.2011.6169433
Filename :
6169433
Link To Document :
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