Andreas Hellander
Andreas Hellander
Associate Professor in Scientific Computing, Division of Scientific Computing, Department of
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Cited by
Cited by
Perspective: Stochastic algorithms for chemical kinetics
DT Gillespie, A Hellander, LR Petzold
The Journal of chemical physics 138 (17), 05B201_1, 2013
Simulation of stochastic reaction-diffusion processes on unstructured meshes
S Engblom, L Ferm, A Hellander, P Lötstedt
SIAM Journal on Scientific Computing 31 (3), 1774-1797, 2009
URDME: a modular framework for stochastic simulation of reaction-transport processes in complex geometries
B Drawert, S Engblom, A Hellander
BMC systems biology 6 (1), 76, 2012
Hybrid method for the chemical master equation
A Hellander, P Lötstedt
Journal of Computational Physics 227 (1), 100-122, 2007
Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation
M Sturrock, A Hellander, A Matzavinos, MAJ Chaplain
Journal of The Royal Society Interface 10 (80), 20120988, 2013
Reaction-diffusion master equation in the microscopic limit
S Hellander, A Hellander, L Petzold
Physical Review E 85 (4), 042901, 2012
Analysis of neural crest–derived clones reveals novel aspects of facial development
M Kaucka, E Ivashkin, D Gyllborg, T Zikmund, M Tesarova, J Kaiser, M Xie, ...
Science advances 2 (8), e1600060, 2016
An adaptive algorithm for simulation of stochastic reaction–diffusion processes
L Ferm, A Hellander, P Lötstedt
Journal of Computational Physics 229 (2), 343-360, 2010
A hierarchy of approximations of the master equation scaled by a size parameter
L Ferm, P Lötstedt, A Hellander
Journal of Scientific Computing 34 (2), 127-151, 2008
Stochastic simulation service: bridging the gap between the computational expert and the biologist
B Drawert, A Hellander, B Bales, D Banerjee, G Bellesia, BJ Daigle Jr, ...
PLoS computational biology 12 (12), e1005220, 2016
Coupled mesoscopic and microscopic simulation of stochastic reaction-diffusion processes in mixed dimensions
A Hellander, S Hellander, P Lötstedt
Multiscale Modeling & Simulation 10 (2), 585-611, 2012
Oriented clonal cell dynamics enables accurate growth and shaping of vertebrate cartilage
M Kaucka, T Zikmund, M Tesarova, D Gyllborg, A Hellander, J Jaros, ...
Elife 6, e25902, 2017
GillesPy: a python package for stochastic model building and simulation
JH Abel, B Drawert, A Hellander, LR Petzold
IEEE life sciences letters 2 (3), 35-38, 2016
Reaction rates for mesoscopic reaction-diffusion kinetics
S Hellander, A Hellander, L Petzold
Physical Review E 91 (2), 023312, 2015
Sparse grids and hybrid methods for the chemical master equation
M Hegland, A Hellander, P Lötstedt
BIT Numerical Mathematics 48, 265-283, 2008
Molns: A cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using pyurdme
B Drawert, M Trogdon, S Toor, L Petzold, A Hellander
SIAM Journal on Scientific Computing 38 (3), C179-C202, 2016
The role of dimerisation and nuclear transport in the Hes1 gene regulatory network
M Sturrock, A Hellander, S Aldakheel, L Petzold, MAJ Chaplain
Bulletin of mathematical biology 76, 766-798, 2014
URDME v. 1.1: User’s manual
B Drawert, S Engblom, A Hellander
The machine learning life cycle and the cloud: implications for drug discovery
O Spjuth, J Frid, A Hellander
Expert opinion on drug discovery 16 (9), 1071-1079, 2021
Local error estimates for adaptive simulation of the reaction–diffusion master equation via operator splitting
A Hellander, MJ Lawson, B Drawert, L Petzold
Journal of computational physics 266, 89-100, 2014
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