Quantifying the implicit process flow abstraction in SBGN-PD diagrams with Bio-PEPA [PDF]
Electronic Proceedings in Theoretical Computer Science, 2009 For a long time biologists have used visual representations of biochemical networks to gain a quick overview of important structural properties. Recently SBGN, the Systems Biology Graphical Notation, has been developed to standardise the way in which ...
Jane Hillston +2 more
doaj +1 more source
Cyclic representations of the periodic Temperley Lieb algebra, complex Virasoro representations and stochastic processes [PDF]
, 2014 An $N$ ${L} \choose {L/2}$-dimensional representation of the periodic Temperley-Lieb algebra $TL_L(x)$ is presented. It is also a representation of the cyclic group $Z_N$.
Alcaraz, Francisco C. +2 more
core +2 more sources
CARMA: Collective Adaptive Resource-sharing Markovian Agents [PDF]
Electronic Proceedings in Theoretical Computer Science, 2015 In this paper we present CARMA, a language recently defined to support specification and analysis of collective adaptive systems. CARMA is a stochastic process algebra equipped with linguistic constructs specifically developed for modelling and ...
Luca Bortolussi +7 more
doaj +1 more source
Sensitivity and identifiability analysis of COVID-19 pandemic models
Вавиловский журнал генетики и селекции, 2021 The paper presents the results of sensitivity-based identif iability analysis of the COVID-19 pandemic spread models in the Novosibirsk region using the systems of differential equations and mass balance law.
O. I. Krivorotko +3 more
doaj +1 more source
Stronger computational modelling of signalling pathways using both continuous and discrete-state methods [PDF]
, 2006 Starting from a biochemical signalling pathway model expresses in a process algebra enriched with quantitative information, we automatically derive both continuous-space and discrete-space representations suitable for numerical evaluation.
A. Aziz +19 more
core +5 more sources
Performance analysis of stochastic process algebra models using stochastic simulation
Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, 2006 Jeremy T. Bradley +2 more
exaly +3 more sources
Information measures for the stochastic Gompertz growth model
Lietuvos Matematikos Rinkinys, 2008 In this paper we investigate the Shannon’s, Fisher’s and Tsallis’ information measures for the Gompertz type stochastic process. We study the information measures of the stationary and non-stationary Gompertz type densities associated to the three ...
Petras Rupšys
doaj +1 more source
A scalable computational framework for establishing long-term behavior of stochastic reaction networks. [PDF]
PLoS Computational Biology, 2014 Reaction networks are systems in which the populations of a finite number of species evolve through predefined interactions. Such networks are found as modeling tools in many biological disciplines such as biochemistry, ecology, epidemiology, immunology,
Ankit Gupta +2 more
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A compartmental model of the cAMP/PKA/MAPK pathway in Bio-PEPA [PDF]
Electronic Proceedings in Theoretical Computer Science, 2009 The vast majority of biochemical systems involve the exchange of information between different compartments, either in the form of transportation or via the intervention of membrane proteins which are able to transmit stimuli between bordering ...
Federica Ciocchetta +2 more
doaj +1 more source
A stochastic Lagrangian representation of the 3-dimensional incompressible Navier-Stokes equations [PDF]
, 2006 In this paper we derive a representation of the deterministic 3-dimensional Navier-Stokes equations based on stochastic Lagrangian paths. The particle trajectories obey SDEs driven by a uniform Wiener process; the inviscid Weber formula for the Euler ...
Beale +26 more
core +1 more source