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A statistical approach to the identification of diploid cellular automata based on incomplete observations

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General Biochemistry, Genetics and Molecular Biology, Modelling and Simulation, Statistics and Probability, Applied Mathematics, General Medicine

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Citation

Please use this url to cite or link to this publication:

MLA
Bołt, Witold, et al. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” Biosystems, 2019.
APA
Bołt, W., Bołt, A., Wolnik, B., Baetens, J., & De Baets, B. (2019). A statistical approach to the identification of diploid cellular automata based on incomplete observations. Biosystems.
Chicago author-date
Bołt, Witold, Aleksander Bołt, Barbara Wolnik, Jan Baetens, and Bernard De Baets. 2019. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” Biosystems.
Chicago author-date (all authors)
Bołt, Witold, Aleksander Bołt, Barbara Wolnik, Jan Baetens, and Bernard De Baets. 2019. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” Biosystems.
Vancouver
1.
Bołt W, Bołt A, Wolnik B, Baetens J, De Baets B. A statistical approach to the identification of diploid cellular automata based on incomplete observations. Biosystems. 2019;
IEEE
[1]
W. Bołt, A. Bołt, B. Wolnik, J. Baetens, and B. De Baets, “A statistical approach to the identification of diploid cellular automata based on incomplete observations,” Biosystems, 2019.
@article{8637808,
  articleno    = {103976},
  author       = {Bołt, Witold and Bołt, Aleksander and Wolnik, Barbara and Baetens, Jan and De Baets, Bernard},
  issn         = {0303-2647},
  journal      = {Biosystems},
  keywords     = {General Biochemistry,Genetics and Molecular Biology,Modelling and Simulation,Statistics and Probability,Applied Mathematics,General Medicine},
  language     = {eng},
  title        = {A statistical approach to the identification of diploid cellular automata based on incomplete observations},
  url          = {http://dx.doi.org/10.1016/j.biosystems.2019.103976},
  year         = {2019},
}

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