Pages that link to "Item:Q3559846"

The following pages link to Markov models for ion channels: versatility versus identifiability and speed (Q3559846):

Displaying 29 items.

• A stochastic automata network descriptor for Markov chain models of instantaneously coupled intracellular Ca\(^{2+}\) channels (Q263450) (← links)
• Computing rates of Markov models of voltage-gated ion channels by inverting partial differential equations governing the probability density functions of the conducting and non-conducting states (Q288961) (← links)
• Estimability analysis and optimal design in dynamic multi-scale models of cardiac electrophysiology (Q321419) (← links)
• Model-order reduction of ion channel dynamics using approximate bisimulation (Q498915) (← links)
• A geometric comparison of single chain multi-state models of ion channel gating (Q941159) (← links)
• Model selection for hidden Markov models of ion channel data by reversible jump Markov chain Monte Carlo (Q1433457) (← links)
• Cellular signaling identifiability analysis: a case study (Q1716256) (← links)
• On the dynamics of axonal membrane: ion channel as the basic unit of a deterministic model (Q1733756) (← links)
• Ion channel kinetics: A model based on fractal scaling rather than multistate Markov processes (Q1820718) (← links)
• Coupled Markov chain model: Characterization of membrane channel currents with multiple conductance sublevels as partially coupled elementary pores (Q1914203) (← links)
• Nonequilibrium response of a voltage gated sodium ion channel and biophysical characterization of dynamic hysteresis (Q2013693) (← links)
• Combination of multi-variable quadratic adaptive algorithm and hybrid operator splitting method for stability against acceleration in the Markov model of sodium ion channels in the ventricular cell model (Q2045816) (← links)
• Computing all identifiable functions of parameters for ODE models (Q2059473) (← links)
• Stochastic Markovian modeling of electrophysiology of ion channels: reconstruction of standard deviations in macroscopic currents (Q2209985) (← links)
• Modelling and simulation for preclinical cardiac safety assessment of drugs with human iPSC-derived cardiomyocytes (Q2216529) (← links)
• Deterministic modeling of single-channel and whole-cell currents (Q2225925) (← links)
• Quantification of gastrointestinal sodium channelopathy (Q2263493) (← links)
• Sensitivity analysis for multiscale stochastic reaction networks using hybrid approximations (Q2325578) (← links)
• Noise analysis of an ion channel in the cardiac myocyte-study based on a Markov model (Q2643354) (← links)
• Multivariate semi-Markov analysis of burst properties of multiconductance single ion channels (Q3147425) (← links)
• Continuous-time Markov chains in a random environment, with applications to ion channel modelling (Q4322087) (← links)
• (Q4494266) (← links)
• Bond graph modelling of the cardiac action potential: implications for drift and non-unique steady states (Q4557706) (← links)
• Estimation of Parameter Sensitivities for Stochastic Reaction Networks Using Tau-Leap Simulations (Q4641593) (← links)
• Fast-slow asymptotics for a Markov chain model of fast sodium current (Q4644299) (← links)
• Multi-experiment Parameter Identifiability of ODEs and Model Theory (Q5097685) (← links)
• Computational Study on Hysteresis of Ion Channels: Multiple Solutions to Steady-State Poisson-Nernst-Planck Equations (Q5159761) (← links)
• Detecting undetectables: Can conductances of action potential models be changed without appreciable change in the transmembrane potential? (Q5232998) (← links)
• Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics (Q6188373) (← links)