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A Compositional Approach to the Stochastic Dynamics of Gene Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11905455_2openalex-snapshot
Gene Regulation in the Pi Calculus: Simulating Cooperativity at the Lambda Switch
inferredcites →https://doi.org/10.1016/j.tcs.2004.03.061openalex-snapshot
BioAmbients: an abstraction for biological compartments
inferredcites →https://doi.org/10.1016/s0020-0190(01)00214-9openalex-snapshot
Application of a stochastic name-passing calculus to representation and simulation of molecular processes
inferredcites →https://doi.org/10.1016/s1535-6108(02)00133-2openalex-snapshot
Can a biologist fix a radio?—Or, what I learned while studying apoptosis
inferredcites →https://doi.org/10.1017/cbo9780511569951openalex-snapshot
A Compositional Approach to Performance Modelling
inferredcites →https://doi.org/10.1021/j100540a008openalex-snapshot
Exact stochastic simulation of coupled chemical reactions
inferredcites →https://doi.org/10.1038/35002125openalex-snapshot
A synthetic oscillatory network of transcriptional regulators
inferredcites →https://doi.org/10.1038/419343aopenalex-snapshot
Cellular abstractions: Cells as computation
inferredcites →https://doi.org/10.1073/pnas.110057697openalex-snapshot
Stochastic focusing: Fluctuation-enhanced sensitivity of intracellular regulation
inferredcites →https://doi.org/10.1073/pnas.151588598openalex-snapshot
Intrinsic noise in gene regulatory networks
inferredcites →https://doi.org/10.1073/pnas.152046799openalex-snapshot
Assigning numbers to the arrows: Parameterizing a gene regulation network by using accurate expression kinetics
inferredcites →https://doi.org/10.1093/bioinformatics/bth236openalex-snapshot
Probabilistic representation of gene regulatory networks
inferredcites →https://doi.org/10.1126/science.1067407openalex-snapshot
Combinatorial Synthesis of Genetic Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4763391openalex-extracted
Exploring the Interplay of Intrinsic Fluctuation and Complexity in Intracellular Calcium Dynamics
inferred← citeshttps://doi.org/10.2139/ssrn.4764470openalex-extracted
Exploring the Interplay of Intrinsic Fluctuation and Complexity in Intracellular Calcium Dynamics
inferred← citeshttps://doi.org/10.1007/11885191_15openalex-snapshot
Compositional Reachability Analysis of Genetic Networks
inferred← citeshttps://doi.org/10.1007/11905455_4openalex-snapshot
Translating SBML Models into the Stochastic π-Calculus for Stochastic Simulation
inferred← citeshttps://doi.org/10.1007/11905455_7openalex-snapshot
A Graphical Representation for Biological Processes in the Stochastic pi-Calculus
inferred← citeshttps://doi.org/10.1007/978-1-4419-1626-6_10openalex-snapshot
Using Multi-Objective Genetic Programming to Synthesize Stochastic Processes
inferred← citeshttps://doi.org/10.1007/978-3-540-68894-5_12openalex-snapshot
Hybrid Systems and Biology
inferred← citeshttps://doi.org/10.1007/978-3-540-75140-3_13openalex-snapshot
Efficient, Correct Simulation of Biological Processes in the Stochastic Pi-calculus
inferred← citeshttps://doi.org/10.1007/978-3-642-04186-0_11openalex-snapshot
Dynamical Systems and Stochastic Programming: To Ordinary Differential Equations and Back
inferred← citeshttps://doi.org/10.1007/s10710-011-9144-3openalex-snapshot
The evolution of higher-level biochemical reaction models
inferred← citeshttps://doi.org/10.1016/j.entcs.2007.05.017openalex-snapshot
Modelling of Biochemical Reactions by Stochastic Automata Networks
inferred← citeshttps://doi.org/10.1016/j.tcs.2009.04.029openalex-snapshot
A process model of Rho GTP-binding proteins
inferred← citeshttps://doi.org/10.1109/cec.2011.5949697openalex-snapshot
Evolution of stochastic bio-networks using summed rank strategies
inferred← citeshttps://doi.org/10.1109/cibcb.2015.7300283openalex-snapshot
Using multi-objective genetic programming to evolve stochastic logic gate circuits
inferred← citeshttps://doi.org/10.1145/1569901.1570044openalex-snapshot
Evolving stochastic processes using feature tests and genetic programming
inferred← citeshttps://doi.org/10.1186/s12918-016-0273-4openalex-snapshot
Learning stochastic process-based models of dynamical systems from knowledge and data
inferred← citeshttps://doi.org/10.4204/eptcs.19.6openalex-snapshot
BlenX-based compositional modeling of complex reaction mechanisms
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