Kieran Alden
Kieran Alden
York Computational Immunology Lab, University of York
Verified email at york.ac.uk - Homepage
TitleCited byYear
Spartan: a comprehensive tool for understanding uncertainty in simulations of biological systems
K Alden, M Read, J Timmis, PS Andrews, H Veiga-Fernandes, M Coles
PLoS computational biology 9 (2), e1002916, 2013
722013
Differential RET signaling pathways drive development of the enteric lymphoid and nervous systems
A Patel, N Harker, L Moreira-Santos, M Ferreira, K Alden, J Timmis, ...
Sci. Signal. 5 (235), ra55-ra55, 2012
61*2012
Pairing experimentation and computational modeling to understand the role of tissue inducer cells in the development of lymphoid organs
K Alden, J Timmis, PS Andrews, H Veiga-Fernandes, MC Coles
Frontiers in immunology 3, 172, 2012
332012
Agent‐Based Modeling in Systems Pharmacology
J Cosgrove, J Butler, K Alden, M Read, V Kumar, L Cucurull‐Sanchez, ...
CPT: pharmacometrics & systems pharmacology 4 (11), 615-629, 2015
252015
Engineering Simulations as Scientific Instruments: A Pattern Language
S Stepney, FAC Polack
Springer, 2018
162018
dConsensus: a tool for displaying domain assignments by multiple structure-based algorithms and for construction of a consensus assignment
K Alden, S Veretnik, PE Bourne
BMC bioinformatics 11 (1), 310, 2010
162010
Using argument notation to engineer biological simulations with increased confidence
K Alden, PS Andrews, FAC Polack, H Veiga-Fernandes, MC Coles, ...
Journal of the Royal Society Interface 12 (104), 20141059, 2015
142015
Easing parameter sensitivity analysis of NetLogo simulations using SPARTAN
K Alden, J Timmis, M Coles
Artificial Life Conference Proceedings 14, 622-628, 2014
92014
Automated multi-objective calibration of biological agent-based simulations
MN Read, K Alden, LM Rose, J Timmis
Journal of the Royal Society Interface 13 (122), 20160543, 2016
82016
Applying spartan to Understand Parameter Uncertainty in Simulations.
K Alden, M Read, PS Andrews, J Timmis, M Coles
R Journal 6 (2), 2014
82014
Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
J Timmis, K Alden, P Andrews, E Clark, A Nellis, B Naylor, M Coles, ...
CPT: pharmacometrics & systems pharmacology 6 (3), 156-167, 2017
72017
Scientific software needs quality control
K Alden, M Read
Nature 502 (7472), 448-448, 2013
72013
Utilising a simulation platform to understand the effect of domain model assumptions
K Alden, PS Andrews, H Veiga-Fernandes, J Timmis, M Coles
Natural computing 14 (1), 99-107, 2015
52015
Novel approaches to the visualization and quantification of biological simulations by emulating experimental techniques
J Butler, K Alden, H Fernandes, J Timmis, M Coles
Artificial Life Conference Proceedings 14, 614-621, 2014
52014
spartan: simulation parameter analysis R toolkit application
K Alden, M Read, PS Andrews, J Timmis, M Coles
RJ 6, 63-80, 2014
52014
Simulation and statistical techniques to explore lymphoid tissue organogenesis
K Alden
University of York, 2012
52012
Towards argument-driven validation of an in silico model of immune tissue organogenesis
K Alden, PS Andrews, J Timmis, H Veiga-Fernandes, M Coles
International Conference on Artificial Immune Systems, 66-70, 2011
52011
Extending and applying Spartan to perform temporal sensitivity analyses for predicting changes in influential biological pathways in computational models
K Alden, J Timmis, PS Andrews, H Veiga-Fernandes, M Coles
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 14 …, 2017
42017
Model-driven experimentation: a new approach to understand mechanisms of tertiary lymphoid tissue formation, function, and therapeutic resolution
JA Butler, J Cosgrove, K Alden, J Timmis, MC Coles
Frontiers in immunology 7, 658, 2017
22017
Using Emulation to Engineer and Understand Simulations of Biological Systems
K Alden, J Cosgrove, M Coles, J Timmis
IEEE/ACM transactions on computational biology and bioinformatics, 2018
12018
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