Analyzing steady state probability distributions of context-sensitive probabilistic boolean networks

Ranadip Pal

doi:10.1109/GENSIPS.2009.5174325

Analyzing steady state probability distributions of context-sensitive probabilistic boolean networks

Ranadip Pal

Electrical and Computer Engineering

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

2 Scopus citations

Abstract

Context-sensitive Probabilistic Boolean Networks (PBN) have been recently introduced as a paradigm for modeling genetic regulatory networks and have served as the main model for the application of intervention methods, including optimal control strategies, to favorably effect system dynamics. Since it is believed that the steady state behavior of a context-sensitive PBN is indicative of the phenotype, it is important to study the alternation in the steady state distribution due to any variations in the formulations of the context-sensitive PBNs. The goal of this paper is to study the effects of the various definitions of contextsensitive PBNs on the steady state probability distributions and the one-step control policy design.

Original language	English
Title of host publication	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
DOIs	https://doi.org/10.1109/GENSIPS.2009.5174325
State	Published - 2009
Event	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009 - Minneapolis, MN, United States Duration: May 17 2009 → May 21 2009

Publication series

Name	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009

Conference

Conference	2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009
Country/Territory	United States
City	Minneapolis, MN
Period	05/17/09 → 05/21/09

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10.1109/GENSIPS.2009.5174325

Cite this

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title = "Analyzing steady state probability distributions of context-sensitive probabilistic boolean networks",

abstract = "Context-sensitive Probabilistic Boolean Networks (PBN) have been recently introduced as a paradigm for modeling genetic regulatory networks and have served as the main model for the application of intervention methods, including optimal control strategies, to favorably effect system dynamics. Since it is believed that the steady state behavior of a context-sensitive PBN is indicative of the phenotype, it is important to study the alternation in the steady state distribution due to any variations in the formulations of the context-sensitive PBNs. The goal of this paper is to study the effects of the various definitions of contextsensitive PBNs on the steady state probability distributions and the one-step control policy design.",

author = "Ranadip Pal",

year = "2009",

doi = "10.1109/GENSIPS.2009.5174325",

language = "English",

isbn = "9781424447619",

series = "2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009",

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Pal, R 2009, Analyzing steady state probability distributions of context-sensitive probabilistic boolean networks. in 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009., 5174325, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009, Minneapolis, MN, United States, 05/17/09. https://doi.org/10.1109/GENSIPS.2009.5174325

Analyzing steady state probability distributions of context-sensitive probabilistic boolean networks. / Pal, Ranadip.

2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009. 2009. 5174325 (2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009).

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

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Analyzing steady state probability distributions of context-sensitive probabilistic boolean networks

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