Search Results - "Bowsher, Clive G"

Identifying sources of variation and the flow of information in biochemical networks by Bowsher, Clive G, Swain, Peter S

“…To understand how cells control and exploit biochemical fluctuations, we must identify the sources of stochasticity, quantify their effects, and distinguish…”
Get full text

Stochastic Simulation of Biomolecular Networks in Dynamic Environments by Voliotis, Margaritis, Thomas, Philipp, Grima, Ramon, Bowsher, Clive G

“…Simulation of biomolecular networks is now indispensable for studying biological systems, from small reaction networks to large ensembles of cells. Here we…”
Get full text

Information transfer by leaky, heterogeneous, protein kinase signaling systems by Voliotis, Margaritis, Perrett, Rebecca M, McWilliams, Chris, McArdle, Craig A, Bowsher, Clive G

“…Cells must sense extracellular signals and transfer the information contained about their environment reliably to make appropriate decisions. To perform these…”
Get full text

The fidelity of dynamic signaling by noisy biomolecular networks by Bowsher, Clive G, Voliotis, Margaritis, Swain, Peter S

“…Cells live in changing, dynamic environments. To understand cellular decision-making, we must therefore understand how fluctuating inputs are processed by…”
Get full text

Modelling security market events in continuous time: Intensity based, multivariate point process models by Bowsher, Clive G.

“…A continuous time econometric modelling framework for multivariate financial market event (or ‘transactions’) data is developed in which the model is specified…”
Get full text

The magnitude and colour of noise in genetic negative feedback systems by Voliotis, Margaritis, Bowsher, Clive G

“…The comparative ability of transcriptional and small RNA-mediated negative feedback to control fluctuations or 'noise' in gene expression remains unexplored…”
Get full text

Information processing by biochemical networks: a dynamic approach by Bowsher, Clive G.

“…Understanding how information is encoded and transferred by biochemical networks is of fundamental importance in cellular and systems biology. This requires…”
Get full text

Environmental sensing, information transfer, and cellular decision-making by Bowsher, Clive G, Swain, Peter S

“…Graphical abstract…”
Get full text

The Dynamics of Economic Functions: Modeling and Forecasting the Yield Curve by Bowsher, Clive G., Meeks, Roland

“…The class of functional signal plus noise (FSN) models is introduced that provides a new, general method for modeling and forecasting time series of economic…”
Get full text

STOCHASTIC KINETIC MODELS: DYNAMIC INDEPENDENCE, MODULARITY AND GRAPHS by Bowsher, Clive G.

“…The dynamic properties and independence structure of stochastic kinetic models (SKMs) are analyzed. An SKM is a highly multivariate jump process used to model…”
Get full text

Automated analysis of information processing, kinetic independence and modular architecture in biochemical networks using MIDIA by BOWSHER, Clive G

“…Understanding the encoding and propagation of information by biochemical reaction networks and the relationship of such information processing properties to…”
Get full text

Signaling to extracellular signal-regulated kinase from ErbB1 kinase and protein kinase C: feedback, heterogeneity, and gating by Perrett, Rebecca M, Fowkes, Robert C, Caunt, Christopher J, Tsaneva-Atanasova, Krasimira, Bowsher, Clive G, McArdle, Craig A

“…Many extracellular signals act via the Raf/MEK/ERK cascade in which kinetics, cell-cell variability, and sensitivity of the ERK response can all influence cell…”
Get full text

Signaling to Extracellular Signal-regulated Kinase from ErbB1 Kinase and Protein Kinase C by Perrett, Rebecca M, Fowkes, Robert C., Caunt, Christopher J., Tsaneva-Atanasova, Krasimira, Bowsher, Clive G., McArdle, Craig A.

“…Many extracellular signals act via the Raf/MEK/ERK cascade in which kinetics, cell-cell variability, and sensitivity of the ERK response can all influence cell…”
Get full text

On testing overidentifying restrictions in dynamic panel data models by Bowsher, Clive G

“…The effect of varying the number of moment conditions used on the finite sample properties of the Sargan test of overidentifying restrictions is investigated…”
Get full text

Stationary and Nonstationary Behaviour of the Term Structure: A Nonparametric Characterization by Bowsher, Clive G., Meeks, Roland

“…We provide simple nonparametric conditions for the order of integration of the term structure of zero-coupon yields. A principal benchmark model studied is one…”
Get full text

STOCHASTIC KINETIC MODELS: DYNAMIC INDEPENDENCE, MODULARITY AND GRAPHS1 by Bowsher, Clive G.

“…The dynamic properties and independence structure of stochastic kinetic models (SKMs) are analyzed. An SKM is a highly multivariate jump process used to model…”
Get full text

Identifying sources of variation and the flow of information in biochemical networks by Bowsher, Clive G., Swain, Peter S.

Get full text

The Fidelity of Dynamic Signaling by Noisy Biomolecular Networks: e1002965 by Bowsher, Clive G, Voliotis, Margaritis, Swain, Peter S

“…Cells live in changing, dynamic environments. To understand cellular decision-making, we must therefore understand how fluctuating inputs are processed by…”
Get full text

Information transfer by leaky, heterogeneous, protein kinase signaling systems by Voliotis, Margaritis, Perrett, Rebecca M., McWilliams, Chris, McArdle, Craig A., Bowsher, Clive G.

Get full text

Mutual Information and Conditional Mean Prediction Error by Bowsher, Clive G, Voliotis, Margaritis

“…Mutual information is fundamentally important for measuring statistical dependence between variables and for quantifying information transfer by signaling and…”
Get full text