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pro vyhledávání: '"Silk, Daniel"'
Autor:
Silk, Daniel
Progress in systems and synthetic biology is driven by mathematical and experimental collaboration. Mathematical models can be used for hypothesis generation, design and knowledge summary, while experiments allow predictions to be tested and provide
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631171
The likelihood-free sequential Approximate Bayesian Computation (ABC) algorithms, are increasingly popular inference tools for complex biological models. Such algorithms proceed by constructing a succession of probability distributions over the param
Externí odkaz:
http://arxiv.org/abs/1210.3296
Autor:
SIlk, Daniel, Kirk, Paul D. W., Barnes, Chris P., Toni, Tina, Rose, Anna, Moon, Simon, Dallman, Margaret J., Stumpf, Michael P. H.
Chaos and oscillations continue to capture the interest of both the scientific and public domains. Yet despite the importance of these qualitative features, most attempts at constructing mathematical models of such phenomena have taken an indirect, q
Externí odkaz:
http://arxiv.org/abs/1108.4746
Here we introduce a new design framework for synthetic biology that exploits the advantages of Bayesian model selection. We will argue that the difference between inference and design is that in the former we try to reconstruct the system that has gi
Externí odkaz:
http://arxiv.org/abs/1103.1046
Akademický článek
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Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2011 Sep . 108(37), 15190-15195.
Externí odkaz:
https://www.jstor.org/stable/41352068
Autor:
Silk, Daniel S., Bowman, Veronica E., Semochkina, Daria, Dalrymple, Ursula, Woods, Dave C., Silk, D S, Bowman, V E, Semochkina, D, Dalrymple, U, Woods, D C
Publikováno v:
Statistical Methods in Medical Research; Sep2022, Vol. 31 Issue 9, p1778-1789, 12p
Autor:
Maishman, Thomas, Schaap, Stephanie, Silk, Daniel S, Nevitt, Sarah J, Woods, David C, Bowman, Veronica E
Publikováno v:
Statistical Methods in Medical Research; Sep2022, Vol. 31 Issue 9, p1757-1777, 21p
Autor:
Silk, Daniel1, Kirk, Paul D. W.1, Barnes, Chris P.1, Toni, Tina1, Stumpf, Michael P. H.1 m.stumpf@imperial.ac.uk
Publikováno v:
PLoS Computational Biology. Jun2014, Vol. 10 Issue 6, p1-14. 14p.
Publikováno v:
Uncertainty in Biology; 2016, p15-32, 18p