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Mathematical model of the cell signaling pathway based on the extended Boolean network model with a stochastic process

• Authors : Minsoo Kim; Eunjung Kim

Subjects: Extended Boolean network model; Stochastic process; MAPK signaling pathway

• Source: BMC Bioinformatics, Vol 23, Iss 1, Pp 1-15 (2022)

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stpm: an R package for stochastic process model.

• Authors : Zhbannikov, Ilya Y.¹ ; Arbeev, Konstantin¹; Akushevich, Igor¹

• Source: BMC Bioinformatics. 2/23/2017, Vol. 18, p1-12. 12p. 6 Charts, 2 Graphs.

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Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.

• Authors : Xian Yang¹ (AUTHOR); Rui Han¹ (AUTHOR); Yike Guo¹ (AUTHOR)

• Source: BMC Bioinformatics. 2013, Vol. 14 Issue S4, p1-17. 17p. 7 Diagrams, 3 Charts, 5 Graphs.

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Mathematical model of the cell signaling pathway based on the extended Boolean network model with a stochastic process.

• Authors : Kim, Minsoo; Kim, Eunjung

Subjects: CELL communication; STOCHASTIC processes; CELL receptors

• Source: BMC Bioinformatics; 11/30/2022, Vol. 23 Issue 1, p1-15, 15p

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Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks

• Authors : Don Kulasiri; Rahul Kosarwal; Sandhya Samarasinghe

Subjects: Mathematical optimization; Computer science; 010103 numerical & computational mathematics

• Source: BMC Bioinformatics, Vol 21, Iss 1, Pp 1-42 (2020)BMC Bioinformatics

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Signaling pathways have an inherent need for noise to acquire information

• Authors : Andreas Wagner; Eugenio P. Balanzario; Eugenio Azpeitia ...

Subjects: 1303 Biochemistry; Signaling pathways; Stochastic resonance

• Source: BMC BioinformaticsBMC Bioinformatics, Vol 21, Iss 1, Pp 1-21 (2020)

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A straightforward method to compute average stochastic oscillations from data samples

• Authors : Jorge Júlvez; Apollo - University of Cambridge Repository

Subjects: Population dynamics; Computer science; Coordinate system

• Source: BMC BioinformaticsZaguán. Repositorio Digital de la Universidad de Zaragozainstname

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On the attenuation and amplification of molecular noise in genetic regulatory networks

• Authors : Yu Chao Wang; Bor-Sen Chen

Subjects: Proteome; Circuit design; Gene regulatory network

• Source: BMC Bioinformatics, Vol 7, Iss 1, p 52 (2006)BMC Bioinformatics

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Empirical evaluation of scoring functions for Bayesian network model selection

• Authors : Zhifa Liu; Changhe Yuan; Brandon Malone

Subjects: Computer science; Bayesian probability; 02 engineering and technology

• Source: BMC Bioinformatics, Vol 13, Iss Suppl 15, p S14 (2012)BMC Bioinformatics

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Accelerated maximum likelihood parameter estimation for stochastic biochemical systems

• Authors : Linda R. Petzold; Min K. Roh; Bernie J. Daigle

Subjects: Mathematical optimization; Multivariate statistics; Biochemical Phenomena

• Source: Daigle, Bernie J; Roh, Min K; Petzold, Linda R; & Niemi, Jarad. (2012). Accelerated maximum likelihood parameter estimation for stochastic biochemical systems.

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