MomentClosure.jl:Automated moment closure approximations in Julia
Autor: | Ramon Grima, Augustinas Sukys |
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Přispěvatelé: | Cowen, Lenore |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Statistics and Probability Source code AcademicSubjects/SCI01060 Computer science Molecular Networks (q-bio.MN) media_common.quotation_subject Monte Carlo method Quantitative Biology - Quantitative Methods 01 natural sciences Biochemistry 03 medical and health sciences Moment closure 0103 physical sciences Master equation Applied mathematics Quantitative Biology - Molecular Networks MIT License Molecular Biology Quantitative Methods (q-bio.QM) media_common 010304 chemical physics Systems Biology Applications Notes Computer Science Applications Computational Mathematics Range (mathematics) 030104 developmental biology Computational Theory and Mathematics FOS: Biological sciences |
Zdroj: | Sukys, A, Grima, R & Cowen, L (ed.) 2021, ' MomentClosure.jl : Automated moment closure approximations in Julia ', Bioinformatics, vol. 38, no. 1, btab469, pp. 289-290 . https://doi.org/10.1093/bioinformatics/btab469 Bioinformatics |
DOI: | 10.1093/bioinformatics/btab469 |
Popis: | MomentClosure.jl is a Julia package providing automated derivation of the time-evolution equations of the moments of molecule numbers for virtually any chemical reaction network using a wide range of moment closure approximations. It extends the capabilities of modelling stochastic biochemical systems in Julia and can be particularly useful when exact analytic solutions of the chemical master equation are unavailable and when Monte Carlo simulations are computationally expensive. MomentClosure.jl is freely accessible under the MIT license. Source code and documentation are available at https://github.com/augustinas1/MomentClosure.jl Comment: 2 pages, 1 figure |
Databáze: | OpenAIRE |
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