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19982023
most citedApproximation and inference methods for stochastic biochemical kinetics - a tutorial review

341 citations · 860 across the 36 of their papers we have counts for

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Showing 2013Show all

5 papers · 1 filter

cs.LO2013★ 18 cited

Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias

Ezio Bartocci, Luca Bortolussi, Guido Sanguinetti

We present a novel approach to learn the formulae characterising the emergent behaviour of a dynamical system from system observations. At a high level, the approach starts by devi…

cs.LO2013★ 54 cited

On the Robustness of Temporal Properties for Stochastic Models

Ezio Bartocci, Luca Bortolussi, Laura Nenzi +1

Stochastic models such as Continuous-Time Markov Chains (CTMC) and Stochastic Hybrid Automata (SHA) are powerful formalisms to model and to reason about the dynamics of biological…

cs.LG2013

A stochastic hybrid model of a biological filter

Andrea Ocone, Guido Sanguinetti

We present a hybrid model of a biological filter, a genetic circuit which removes fast fluctuations in the cell's internal representation of the extra cellular environment. The mod…

stat.ML2013

Factored expectation propagation for input-output FHMM models in systems biology

Botond Cseke, Guido Sanguinetti

We consider the problem of joint modelling of metabolic signals and gene expression in systems biology applications. We propose an approach based on input-output factorial hidden M…

stat.ML2013

Sparse Approximate Inference for Spatio-Temporal Point Process Models

Botond Cseke, Andrew Zammit Mangion, Tom Heskes +1

Spatio-temporal point process models play a central role in the analysis of spatially distributed systems in several disciplines. Yet, scalable inference remains computa- tionally…