Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Bowsher, Clive"'
Simulation of biomolecular networks is now indispensable for studying biological systems, from small reaction networks to large ensembles of cells. Here we present a novel approach for stochastic simulation of networks embedded in the dynamic environ
Externí odkaz:
http://arxiv.org/abs/1511.01268
Mutual information is fundamentally important for measuring statistical dependence between variables and for quantifying information transfer by signaling and communication mechanisms. It can, however, be challenging to evaluate for physical models o
Externí odkaz:
http://arxiv.org/abs/1407.7165
Autor:
Bowsher, Clive G.
Publikováno v:
Annals of Statistics 2010, Vol. 38, No. 4, 2242-2281
The dynamic properties and independence structure of stochastic kinetic models (SKMs) are analyzed. An SKM is a highly multivariate jump process used to model chemical reaction networks, particularly those in biochemical and cellular systems. We iden
Externí odkaz:
http://arxiv.org/abs/1010.3916
Autor:
Voliotis, Margaritis, Perrett, Rebecca M., McWilliams, Chris, McArdle, Craig A., Bowsher, Clive G.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2014 Jan . 111(3), 891-891.
Externí odkaz:
https://www.jstor.org/stable/23770391
Autor:
Bowsher, Clive G., Swain, Peter S.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2012 May . 109(20), 7615-7616.
Externí odkaz:
https://www.jstor.org/stable/41592719
Autor:
Bowsher, Clive G., Meeks, Roland
Publikováno v:
Journal of the American Statistical Association, 2008 Dec 01. 103(484), 1419-1437.
Externí odkaz:
https://www.jstor.org/stable/27640193
Autor:
Bowsher, Clive G.
Publikováno v:
In Journal of Econometrics 2007 141(2):876-912
Autor:
Bowsher, Clive G.1 c.bowsher@bristol.ac.uk, Voliotis, Margaritis1, Swain, Peter S.2 peter.swain@ed.ac.uk
Publikováno v:
PLoS Computational Biology. Mar2013, Vol. 9 Issue 3, p1-9. 9p. 5 Graphs.
Autor:
Garner, Kathryn L, Perrett, Rebecca M, Voliotis, Margaritis, Bowsher, Clive, Pope, George R, Pham, Thanh, Caunt, Christopher J, Tsaneva-Atanasova, Krasimira, McArdle, Craig A
Publikováno v:
Garner, K L, Perrett, R M, Voliotis, M, Bowsher, C, Pope, G R, Pham, T, Caunt, C J, Tsaneva-Atanasova, K & McArdle, C A 2016, ' Information Transfer in Gonadotropin-Releasing Hormone (GnRH) Signaling : Extracellular Signal-Regulated Kinase (ERK)-Mediated Feedback Loops Control Hormone Sensing ', Journal of Biological Chemistry, vol. 291, no. 5, pp. 2246-2259 . https://doi.org/10.1074/jbc.M115.686964
Cell signaling pathways are noisy communication channels and statistical measures derived from information theory can be used to quantify the information they transfer. Here we use single cell signaling measures to calculate mutual information (MI) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2642::421145c78f4b27e948731c621c103304
https://research-information.bris.ac.uk/ws/files/70487661/Information_Transfer_in_Gonadotropin_releasing_Hormone.pdf
https://research-information.bris.ac.uk/ws/files/70487661/Information_Transfer_in_Gonadotropin_releasing_Hormone.pdf