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You searched for subject:(Gillespie Algorithm). Showing records 1 – 10 of 10 total matches.

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1. Vagne, Quentin. Stochastic models of intra-cellular organization : from non-equilibrium clustering of membrane proteins to the dynamics of cellular organelles : Modèles stochastiques de l’organisation intra-cellulaire : de l’agrégation des protéines membranaires à la dynamique des organelles cellulaires.

Degree: Docteur es, Physique. Physique théorique, 2016, Sorbonne Paris Cité

Cette thèse a pour sujet la biologie cellulaire, et plus particulièrement l'organisation interne des cellules eucaryotes. Bien que les différents acteurs régissant cette organisation aient… (more)

Subjects/Keywords: Auto-organisation; Algorithme de gillespie; Simulations stochastiques; Self-organization; Gillespie algorithm; Stochastic simulations

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vagne, Q. (2016). Stochastic models of intra-cellular organization : from non-equilibrium clustering of membrane proteins to the dynamics of cellular organelles : Modèles stochastiques de l’organisation intra-cellulaire : de l’agrégation des protéines membranaires à la dynamique des organelles cellulaires. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2016USPCC205

Chicago Manual of Style (16th Edition):

Vagne, Quentin. “Stochastic models of intra-cellular organization : from non-equilibrium clustering of membrane proteins to the dynamics of cellular organelles : Modèles stochastiques de l’organisation intra-cellulaire : de l’agrégation des protéines membranaires à la dynamique des organelles cellulaires.” 2016. Doctoral Dissertation, Sorbonne Paris Cité. Accessed December 16, 2019. http://www.theses.fr/2016USPCC205.

MLA Handbook (7th Edition):

Vagne, Quentin. “Stochastic models of intra-cellular organization : from non-equilibrium clustering of membrane proteins to the dynamics of cellular organelles : Modèles stochastiques de l’organisation intra-cellulaire : de l’agrégation des protéines membranaires à la dynamique des organelles cellulaires.” 2016. Web. 16 Dec 2019.

Vancouver:

Vagne Q. Stochastic models of intra-cellular organization : from non-equilibrium clustering of membrane proteins to the dynamics of cellular organelles : Modèles stochastiques de l’organisation intra-cellulaire : de l’agrégation des protéines membranaires à la dynamique des organelles cellulaires. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2016. [cited 2019 Dec 16]. Available from: http://www.theses.fr/2016USPCC205.

Council of Science Editors:

Vagne Q. Stochastic models of intra-cellular organization : from non-equilibrium clustering of membrane proteins to the dynamics of cellular organelles : Modèles stochastiques de l’organisation intra-cellulaire : de l’agrégation des protéines membranaires à la dynamique des organelles cellulaires. [Doctoral Dissertation]. Sorbonne Paris Cité; 2016. Available from: http://www.theses.fr/2016USPCC205


Uppsala University

2. Kieri, Emil. Accuracy aspects of the reaction-diffusion master equation on unstructured meshes.

Degree: Division of Scientific Computing, 2011, Uppsala University

  The reaction-diffusion master equation (RDME) is a stochastic model for spatially heterogeneous chemical systems. Stochastic models have proved to be useful for problems from… (more)

Subjects/Keywords: master equation; Gillespie algorithm; unstructured mesh; diffusion; maximum principle

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APA (6th Edition):

Kieri, E. (2011). Accuracy aspects of the reaction-diffusion master equation on unstructured meshes. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-145978

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kieri, Emil. “Accuracy aspects of the reaction-diffusion master equation on unstructured meshes.” 2011. Thesis, Uppsala University. Accessed December 16, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-145978.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kieri, Emil. “Accuracy aspects of the reaction-diffusion master equation on unstructured meshes.” 2011. Web. 16 Dec 2019.

Vancouver:

Kieri E. Accuracy aspects of the reaction-diffusion master equation on unstructured meshes. [Internet] [Thesis]. Uppsala University; 2011. [cited 2019 Dec 16]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-145978.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kieri E. Accuracy aspects of the reaction-diffusion master equation on unstructured meshes. [Thesis]. Uppsala University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-145978

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cincinnati

3. Ananthanpillai, Balaji. Stochastic Simulation of the Phage Lambda System and the Bioluminescence System Using the Next Reaction Method.

Degree: MS, Engineering : Electrical Engineering, 2009, University of Cincinnati

 A biological pathway represents a network of complex reactions at the molecular level of living cells. Pathways model how biological molecules interact to carry out… (more)

Subjects/Keywords: Electrical Engineering; Phage Lambda; Bioluminescence; Next Reaction Method; Gillespie Algorithm; ODE; Stochastic simulation

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APA (6th Edition):

Ananthanpillai, B. (2009). Stochastic Simulation of the Phage Lambda System and the Bioluminescence System Using the Next Reaction Method. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1259080814

Chicago Manual of Style (16th Edition):

Ananthanpillai, Balaji. “Stochastic Simulation of the Phage Lambda System and the Bioluminescence System Using the Next Reaction Method.” 2009. Masters Thesis, University of Cincinnati. Accessed December 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1259080814.

MLA Handbook (7th Edition):

Ananthanpillai, Balaji. “Stochastic Simulation of the Phage Lambda System and the Bioluminescence System Using the Next Reaction Method.” 2009. Web. 16 Dec 2019.

Vancouver:

Ananthanpillai B. Stochastic Simulation of the Phage Lambda System and the Bioluminescence System Using the Next Reaction Method. [Internet] [Masters thesis]. University of Cincinnati; 2009. [cited 2019 Dec 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1259080814.

Council of Science Editors:

Ananthanpillai B. Stochastic Simulation of the Phage Lambda System and the Bioluminescence System Using the Next Reaction Method. [Masters Thesis]. University of Cincinnati; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1259080814


Virginia Tech

4. Gao, Guangyue. A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii.

Degree: MS, Computer Science, 2016, Virginia Tech

 Toxoplasma gondii (T. gondii) is an intracellular protozoan parasite. The parasite can infect all warm-blooded vertebrates. Up to 30% of the world's human population carry… (more)

Subjects/Keywords: Gillespie Algorithm; Toxoplasma Gondii; Finite Difference Method; Transmission Dynamics; Compartment-Based Model; Stochastic Simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gao, G. (2016). A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78106

Chicago Manual of Style (16th Edition):

Gao, Guangyue. “A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii.” 2016. Masters Thesis, Virginia Tech. Accessed December 16, 2019. http://hdl.handle.net/10919/78106.

MLA Handbook (7th Edition):

Gao, Guangyue. “A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii.” 2016. Web. 16 Dec 2019.

Vancouver:

Gao G. A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/10919/78106.

Council of Science Editors:

Gao G. A Stochastic Model for The Transmission Dynamics of Toxoplasma Gondii. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/78106


Virginia Commonwealth University

5. Geltz, Brad. Handling External Events Efficiently in Gillespie's Stochastic Simulation Algorithm.

Degree: MS, Engineering, 2010, Virginia Commonwealth University

Gillespie's Stochastic Simulation Algorithm (SSA) provides an elegant simulation approach for simulating models composed of coupled chemical reactions. Although this approach can be used to… (more)

Subjects/Keywords: Stochastic simulation; Modeling biochemical systems; Gillespie algorithm; Systems biology; Efficient event handling; Engineering

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APA (6th Edition):

Geltz, B. (2010). Handling External Events Efficiently in Gillespie's Stochastic Simulation Algorithm. (Thesis). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/168

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Geltz, Brad. “Handling External Events Efficiently in Gillespie's Stochastic Simulation Algorithm.” 2010. Thesis, Virginia Commonwealth University. Accessed December 16, 2019. https://scholarscompass.vcu.edu/etd/168.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Geltz, Brad. “Handling External Events Efficiently in Gillespie's Stochastic Simulation Algorithm.” 2010. Web. 16 Dec 2019.

Vancouver:

Geltz B. Handling External Events Efficiently in Gillespie's Stochastic Simulation Algorithm. [Internet] [Thesis]. Virginia Commonwealth University; 2010. [cited 2019 Dec 16]. Available from: https://scholarscompass.vcu.edu/etd/168.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Geltz B. Handling External Events Efficiently in Gillespie's Stochastic Simulation Algorithm. [Thesis]. Virginia Commonwealth University; 2010. Available from: https://scholarscompass.vcu.edu/etd/168

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Commonwealth University

6. Trimeloni, Thomas. Accelerating Finite State Projection through General Purpose Graphics Processing.

Degree: MS, Engineering, 2011, Virginia Commonwealth University

 The finite state projection algorithm provides modelers a new way of directly solving the chemical master equation. The algorithm utilizes the matrix exponential function, and… (more)

Subjects/Keywords: Finite State Projection; Systems Biology; High-Performance Computing; Graphics Processing; Modeling; Gillespie Algorithm; Chemical Master Equation; Differential Equations; Stochastic Simulation; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Trimeloni, T. (2011). Accelerating Finite State Projection through General Purpose Graphics Processing. (Thesis). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/175

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trimeloni, Thomas. “Accelerating Finite State Projection through General Purpose Graphics Processing.” 2011. Thesis, Virginia Commonwealth University. Accessed December 16, 2019. https://scholarscompass.vcu.edu/etd/175.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trimeloni, Thomas. “Accelerating Finite State Projection through General Purpose Graphics Processing.” 2011. Web. 16 Dec 2019.

Vancouver:

Trimeloni T. Accelerating Finite State Projection through General Purpose Graphics Processing. [Internet] [Thesis]. Virginia Commonwealth University; 2011. [cited 2019 Dec 16]. Available from: https://scholarscompass.vcu.edu/etd/175.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trimeloni T. Accelerating Finite State Projection through General Purpose Graphics Processing. [Thesis]. Virginia Commonwealth University; 2011. Available from: https://scholarscompass.vcu.edu/etd/175

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Grenoble

7. Grac, Edith. Stochasticité dans la réponse d'individus bactériens à une perturbation : étude dynamique : Stochasticity in individual bacterial response : dynamic study of gene expression noise.

Degree: Docteur es, Physique pour les sciences du vivant, 2012, Université de Grenoble

Nous nous proposons d'étudier la gestion du bruit stochastique d'expression génique. On s'intéresse plus particulièrement à la dynamique du bruit lors de la réponse cellulaire.… (more)

Subjects/Keywords: Cellules individuelles; Individualité non génétique; Algorithme de Gillespie; Réseau de régulation bactérienne; Protéines régulatrices; Bruit stochastique d'expression génique bruit extrinséque bruit intrinséque E.Coli (réponse au stress nutrionnel) Vib; Single cell; Non-genetic individuality; Gillespie algorithm; Gene netwroks; Regulatory proteins; Stochastic gene expression; Noisy genes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Grac, E. (2012). Stochasticité dans la réponse d'individus bactériens à une perturbation : étude dynamique : Stochasticity in individual bacterial response : dynamic study of gene expression noise. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2012GRENY021

Chicago Manual of Style (16th Edition):

Grac, Edith. “Stochasticité dans la réponse d'individus bactériens à une perturbation : étude dynamique : Stochasticity in individual bacterial response : dynamic study of gene expression noise.” 2012. Doctoral Dissertation, Université de Grenoble. Accessed December 16, 2019. http://www.theses.fr/2012GRENY021.

MLA Handbook (7th Edition):

Grac, Edith. “Stochasticité dans la réponse d'individus bactériens à une perturbation : étude dynamique : Stochasticity in individual bacterial response : dynamic study of gene expression noise.” 2012. Web. 16 Dec 2019.

Vancouver:

Grac E. Stochasticité dans la réponse d'individus bactériens à une perturbation : étude dynamique : Stochasticity in individual bacterial response : dynamic study of gene expression noise. [Internet] [Doctoral dissertation]. Université de Grenoble; 2012. [cited 2019 Dec 16]. Available from: http://www.theses.fr/2012GRENY021.

Council of Science Editors:

Grac E. Stochasticité dans la réponse d'individus bactériens à une perturbation : étude dynamique : Stochasticity in individual bacterial response : dynamic study of gene expression noise. [Doctoral Dissertation]. Université de Grenoble; 2012. Available from: http://www.theses.fr/2012GRENY021


University of Cambridge

8. Patange, Om. On the coupling of noisy processes in biology to produce functional phenotypic variability .

Degree: 2019, University of Cambridge

 Noise is ubiquitous in biology. Recent studies have demonstrated that both gene expression and physiological processes, such as growth, can be noisy. The cell-to-cell variation… (more)

Subjects/Keywords: noise; rpos; growth; stress response; e. coli; phenotypic heterogeneity; single-cell; time-lapse microscopy; quantitative biology; stochastic simulation; Gillespie algorithm; Mother Machine; microfluidic; bet-hedging; stochastic gene expression

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APA (6th Edition):

Patange, O. (2019). On the coupling of noisy processes in biology to produce functional phenotypic variability . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Patange, Om. “On the coupling of noisy processes in biology to produce functional phenotypic variability .” 2019. Thesis, University of Cambridge. Accessed December 16, 2019. https://www.repository.cam.ac.uk/handle/1810/293634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Patange, Om. “On the coupling of noisy processes in biology to produce functional phenotypic variability .” 2019. Web. 16 Dec 2019.

Vancouver:

Patange O. On the coupling of noisy processes in biology to produce functional phenotypic variability . [Internet] [Thesis]. University of Cambridge; 2019. [cited 2019 Dec 16]. Available from: https://www.repository.cam.ac.uk/handle/1810/293634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patange O. On the coupling of noisy processes in biology to produce functional phenotypic variability . [Thesis]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cambridge

9. Patange, Om. On the coupling of noisy processes in biology to produce functional phenotypic variability.

Degree: PhD, 2019, University of Cambridge

 Noise is ubiquitous in biology. Recent studies have demonstrated that both gene expression and physiological processes, such as growth, can be noisy. The cell-to-cell variation… (more)

Subjects/Keywords: noise; rpos; growth; stress response; e. coli; phenotypic heterogeneity; single-cell; time-lapse microscopy; quantitative biology; stochastic simulation; Gillespie algorithm; Mother Machine; microfluidic; bet-hedging; stochastic gene expression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Patange, O. (2019). On the coupling of noisy processes in biology to produce functional phenotypic variability. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293634 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782827

Chicago Manual of Style (16th Edition):

Patange, Om. “On the coupling of noisy processes in biology to produce functional phenotypic variability.” 2019. Doctoral Dissertation, University of Cambridge. Accessed December 16, 2019. https://www.repository.cam.ac.uk/handle/1810/293634 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782827.

MLA Handbook (7th Edition):

Patange, Om. “On the coupling of noisy processes in biology to produce functional phenotypic variability.” 2019. Web. 16 Dec 2019.

Vancouver:

Patange O. On the coupling of noisy processes in biology to produce functional phenotypic variability. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Dec 16]. Available from: https://www.repository.cam.ac.uk/handle/1810/293634 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782827.

Council of Science Editors:

Patange O. On the coupling of noisy processes in biology to produce functional phenotypic variability. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293634 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782827


University of Illinois – Urbana-Champaign

10. Rivera Quinones, Vanessa. Mathematical models of daphnia epidemics.

Degree: PhD, Mathematics, 2019, University of Illinois – Urbana-Champaign

 Disease ecology studies the interactions among hosts, pathogens, and the environment and how these shape the spread of disease. These interactions can be quite complex… (more)

Subjects/Keywords: disease ecology; rapid evolution; Daphnia; epidemic models; recovery; host-parasite; resource competition; Quantitative Genetics; Adaptive Dynamics; mathematical models; Partial differential equations; Stochastic models; Gillespie Algorithm

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APA (6th Edition):

Rivera Quinones, V. (2019). Mathematical models of daphnia epidemics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/105612

Chicago Manual of Style (16th Edition):

Rivera Quinones, Vanessa. “Mathematical models of daphnia epidemics.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 16, 2019. http://hdl.handle.net/2142/105612.

MLA Handbook (7th Edition):

Rivera Quinones, Vanessa. “Mathematical models of daphnia epidemics.” 2019. Web. 16 Dec 2019.

Vancouver:

Rivera Quinones V. Mathematical models of daphnia epidemics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Dec 16]. Available from: http://hdl.handle.net/2142/105612.

Council of Science Editors:

Rivera Quinones V. Mathematical models of daphnia epidemics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/105612

.