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A Bayesian approach to inferring chemical signal timing and amplitude in a temporal logic gate using the cell population distributional response
View ORCID ProfileAnia A. Baetica, View ORCID ProfileThomas A. Catanach, View ORCID ProfileVictoria Hsiao, View ORCID ProfileRichard M. Murray, James L. Beck
doi: https://doi.org/10.1101/087379
Ania A. Baetica
1Department of Control and Dynamical Systems, California Institute of Technology, Pasadena, CA. Emails: ,
Thomas A. Catanach
2Department of Applied and Computational Mathematics. Email: .
Victoria Hsiao
3Department of Biology and Biological Engineering. Email: .
Richard M. Murray
1Department of Control and Dynamical Systems, California Institute of Technology, Pasadena, CA. Emails: ,
3Department of Biology and Biological Engineering. Email: .
James L. Beck
4Department of Computing and Mathematical Sciences. Email: .
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Posted November 14, 2016.
A Bayesian approach to inferring chemical signal timing and amplitude in a temporal logic gate using the cell population distributional response
Ania A. Baetica, Thomas A. Catanach, Victoria Hsiao, Richard M. Murray, James L. Beck
bioRxiv 087379; doi: https://doi.org/10.1101/087379
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