A novel critical time analysis approach for genetic regulatory networks

Sonal Bhattacharya; Ranadip Pal

doi:10.1109/gensips.2011.6169433

A novel critical time analysis approach for genetic regulatory networks

Sonal Bhattacharya, Ranadip Pal

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Publisher	IEEE Computer Society
Pages	29-32
Number of pages	4
ISBN (Print)	9781467304900
DOIs	https://doi.org/10.1109/gensips.2011.6169433
State	Published - 2011
Event	2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States Duration: Dec 4 2011 → Dec 6 2011

Publication series

Name	Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
ISSN (Print)	2150-3001
ISSN (Electronic)	2150-301X

Conference

Conference	2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
Country/Territory	United States
City	San Antonio, TX
Period	12/4/11 → 12/6/11

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10.1109/gensips.2011.6169433

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Bhattacharya, S., & Pal, R. (2011). A novel critical time analysis approach for genetic regulatory networks. In Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 (pp. 29-32). Article 6169433 (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). IEEE Computer Society. https://doi.org/10.1109/gensips.2011.6169433

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title = "A novel critical time analysis approach for genetic regulatory networks",

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.",

author = "Sonal Bhattacharya and Ranadip Pal",

year = "2011",

doi = "10.1109/gensips.2011.6169433",

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series = "Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics",

publisher = "IEEE Computer Society",

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note = "2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 ; Conference date: 04-12-2011 Through 06-12-2011",

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Bhattacharya, S & Pal, R 2011, A novel critical time analysis approach for genetic regulatory networks. in Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11., 6169433, Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics, IEEE Computer Society, pp. 29-32, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11, San Antonio, TX, United States, 12/4/11. https://doi.org/10.1109/gensips.2011.6169433

A novel critical time analysis approach for genetic regulatory networks. / Bhattacharya, Sonal; Pal, Ranadip.
Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society, 2011. p. 29-32 6169433 (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Bhattacharya S, Pal R. A novel critical time analysis approach for genetic regulatory networks. In Proceedings 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11. IEEE Computer Society. 2011. p. 29-32. 6169433. (Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics). doi: 10.1109/gensips.2011.6169433

A novel critical time analysis approach for genetic regulatory networks

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