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Kaan Öcal
Kaan Öcal
Postdoctoral Researcher, University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
Flexible statistical inference for mechanistic models of neural dynamics
JM Lueckmann, PJ Goncalves, G Bassetto, K Öcal, M Nonnenmacher, ...
Advances in neural information processing systems 30, 2017
3042017
Training deep neural density estimators to identify mechanistic models of neural dynamics
PJ Gonçalves, JM Lueckmann, M Deistler, M Nonnenmacher, K Öcal, ...
elife 9, e56261, 2020
2502020
Parameter estimation for biochemical reaction networks using Wasserstein distances
K Öcal, R Grima, G Sanguinetti
Journal of Physics A: Mathematical and Theoretical 53 (3), 034002, 2019
322019
Approximating solutions of the chemical master equation using neural networks
A Sukys, K Öcal, R Grima
Iscience 25 (9), 2022
292022
Inference and uncertainty quantification of stochastic gene expression via synthetic models
K Öcal, MU Gutmann, G Sanguinetti, R Grima
Journal of The Royal Society Interface 19 (192), 20220153, 2022
112022
Model reduction for the chemical master equation: An information-theoretic approach
K Öcal, G Sanguinetti, R Grima
The Journal of Chemical Physics 158 (11), 2023
82023
A stochastic vs deterministic perspective on the timing of cellular events
L Ham, MA Coomer, K Öcal, R Grima, MPH Stumpf
Nature Communications 15 (1), 5286, 2024
7*2024
Incorporating extrinsic noise into mechanistic modelling of single-cell transcriptomics
K Öcal
bioRxiv, 2023.09. 30.560282, 2023
22023
A universal formula explains cell size distributions in lineages
K Öcal, MPH Stumpf
arXiv preprint arXiv:2411.08327, 2024
2024
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Articles 1–9