| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accuracy Analysis of Hybrid Stochastic Simulation Algorithm on Linear Chain Reaction Systems
|
Chen, Minghan
|
|
2018
|
81 |
8 |
p. 3024-3052
|
artikel
|
| 2 |
A Critical Comparison of Rejection-Based Algorithms for Simulation of Large Biochemical Reaction Networks
|
Thanh, Vo Hong
|
|
2018
|
81 |
8 |
p. 3053-3073
|
artikel
|
| 3 |
Adapting a Plant Tissue Model to Animal Development: Introducing Cell Sliding into VirtualLeaf
|
Wolff, Henri B.
|
|
2019
|
81 |
8 |
p. 3322-3341
|
artikel
|
| 4 |
A Diffuse Interface Framework for Modeling the Evolution of Multi-cell Aggregates as a Soft Packing Problem Driven by the Growth and Division of Cells
|
Jiang, J.
|
|
2019
|
81 |
8 |
p. 3282-3300
|
artikel
|
| 5 |
Are Homeostatic States Stable? Dynamical Stability in Morphoelasticity
|
Erlich, Alexander
|
|
2018
|
81 |
8 |
p. 3219-3244
|
artikel
|
| 6 |
Cell-Based Model of the Generation and Maintenance of the Shape and Structure of the Multilayered Shoot Apical Meristem of Arabidopsis thaliana
|
Banwarth-Kuhn, Mikahl
|
|
2018
|
81 |
8 |
p. 3245-3281
|
artikel
|
| 7 |
Data-Driven Method for Efficient Characterization of Rare Event Probabilities in Biochemical Systems
|
Roh, Min K.
|
|
2018
|
81 |
8 |
p. 3097-3120
|
artikel
|
| 8 |
Exact Variance-Reduced Simulation of Lattice Continuous-Time Markov Chains with Applications in Reaction Networks
|
Maginnis, P. A.
|
|
2019
|
81 |
8 |
p. 3159-3184
|
artikel
|
| 9 |
Generalizing Gillespie’s Direct Method to Enable Network-Free Simulations
|
Suderman, Ryan
|
|
2018
|
81 |
8 |
p. 2822-2848
|
artikel
|
| 10 |
Interplay Between the Persistent Random Walk and the Contact Inhibition of Locomotion Leads to Collective Cell Behaviors
|
Hassan, Abdel-Rahman
|
|
2019
|
81 |
8 |
p. 3301-3321
|
artikel
|
| 11 |
Introduction
|
Alber, Mark
|
|
2019
|
81 |
8 |
p. 3214-3218
|
artikel
|
| 12 |
Low Variance Couplings for Stochastic Models of Intracellular Processes with Time-Dependent Rate Functions
|
Anderson, David F.
|
|
2018
|
81 |
8 |
p. 2902-2930
|
artikel
|
| 13 |
Multiscale Stochastic Reaction–Diffusion Algorithms Combining Markov Chain Models with Stochastic Partial Differential Equations
|
Kang, Hye-Won
|
|
2019
|
81 |
8 |
p. 3185-3213
|
artikel
|
| 14 |
Prospects for Declarative Mathematical Modeling of Complex Biological Systems
|
Mjolsness, Eric
|
|
2019
|
81 |
8 |
p. 3385-3420
|
artikel
|
| 15 |
Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems
|
Beentjes, Casper H. L.
|
|
2018
|
81 |
8 |
p. 2931-2959
|
artikel
|
| 16 |
Sensitivity Analysis for Multiscale Stochastic Reaction Networks Using Hybrid Approximations
|
Gupta, Ankit
|
|
2018
|
81 |
8 |
p. 3121-3158
|
artikel
|
| 17 |
Simulating Turgor-Induced Stress Patterns in Multilayered Plant Tissues
|
Ali, Olivier
|
|
2019
|
81 |
8 |
p. 3362-3384
|
artikel
|
| 18 |
S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging $$\tau $$τ-Leaping and R-Leaping
|
Lipková, Jana
|
|
2018
|
81 |
8 |
p. 3074-3096
|
artikel
|
| 19 |
Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
|
Smith, Stephen
|
|
2018
|
81 |
8 |
p. 2960-3009
|
artikel
|
| 20 |
Stochastic Dynamics of Eukaryotic Flagellar Growth
|
Rathinam, Muruhan
|
|
2018
|
81 |
8 |
p. 2849-2872
|
artikel
|
| 21 |
Stochastic Simulation of Biochemical Systems: In Memory of Dan T. Gillespie’s contributions
|
Cao, Yang
|
|
2019
|
81 |
8 |
p. 2819-2821
|
artikel
|
| 22 |
Stochastic Simulation of Pattern Formation in Growing Tissue: A Multilevel Approach
|
Engblom, Stefan
|
|
2018
|
81 |
8 |
p. 3010-3023
|
artikel
|
| 23 |
Strain- or Stress-Sensing in Mechanochemical Patterning by the Phytohormone Auxin
|
Julien, Jean-Daniel
|
|
2019
|
81 |
8 |
p. 3342-3361
|
artikel
|
| 24 |
The Linear Noise Approximation for Spatially Dependent Biochemical Networks
|
Lötstedt, Per
|
|
2018
|
81 |
8 |
p. 2873-2901
|
artikel
|
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