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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
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2016 | 1 |
2019 | 3 |
2020 | 1 |
2024 | 0 |
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Page 1
Exploring Evolutionary Fitness in Biological Systems Using Machine Learning Methods.
Entropy (Basel). 2020 Dec 29;23(1):35. doi: 10.3390/e23010035.
Entropy (Basel). 2020.
PMID: 33383722
Free PMC article.
Modelling optimal behavioural strategies in structured populations using a novel theoretical framework.
Morozov A, Kuzenkov OA, Arashkevich EG.
Morozov A, et al. Among authors: kuzenkov oa.
Sci Rep. 2019 Oct 21;9(1):15020. doi: 10.1038/s41598-019-51310-w.
Sci Rep. 2019.
PMID: 31636303
Free PMC article.
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Revealing Evolutionarily Optimal Strategies in Self-Reproducing Systems via a New Computational Approach.
Sandhu SK, Morozov A, Kuzenkov O.
Sandhu SK, et al. Among authors: kuzenkov o.
Bull Math Biol. 2019 Nov;81(11):4701-4725. doi: 10.1007/s11538-019-00663-4. Epub 2019 Nov 18.
Bull Math Biol. 2019.
PMID: 31541385
Free PMC article.
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Towards the Construction of a Mathematically Rigorous Framework for the Modelling of Evolutionary Fitness.
Kuzenkov O, Morozov A.
Kuzenkov O, et al.
Bull Math Biol. 2019 Nov;81(11):4675-4700. doi: 10.1007/s11538-019-00602-3. Epub 2019 Apr 4.
Bull Math Biol. 2019.
PMID: 30949887
Free PMC article.
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Towards developing a general framework for modelling vertical migration in zooplankton.
Morozov AY, Kuzenkov OA.
Morozov AY, et al. Among authors: kuzenkov oa.
J Theor Biol. 2016 Sep 21;405:17-28. doi: 10.1016/j.jtbi.2016.01.011. Epub 2016 Jan 21.
J Theor Biol. 2016.
PMID: 26804642
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