Title
Marginal dynamics of stochastic biochemical networks in random environments
Abstract
Stochastic simulation algorithms provide a powerful means to understand complex biochemical processes as well as to solve the inverse problem of reconstructing hidden states and parameters from experimental single-cell data. At presence, a repertoire of efficient algorithms for simulating and calibrating stochastic reaction networks is available. However, most of these approaches do not account for the fact that each cell of a clonal population is exposed to a random extrinsic environment, i.e., the agglomerate of so-called extrinsic factors such as cell size, shape or cell cycle stage. We recently proposed a dynamic description of stochastic chemical kinetics in random but unknown extrinsic environments, reflected by a stochastic process where uncertain parameters are marginalized out. In this work we further investigate that process and provide additional analytical results. We demonstrate the marginalization using several biologically relevant parameter distributions and derive exact waiting-time distributions. We further show that the marginalized process model can achieve a variance reduction in the context of parameter inference.
Year
Venue
Keywords
2013
Control Conference
markov processes,inverse problems,random processes,reaction kinetics,stochastic processes,cell cycle stage,cell size,complex biochemical process,continuous-time markov chain framework,inverse problem,marginal dynamics,marginalized process model,parameter inference,random extrinsic environment,single-cell data,stochastic biochemical networks,stochastic chemical kinetic dynamic description,stochastic process,stochastic reaction networks,stochastic simulation algorithms,uncertain parameters,variance reduction,waiting-time distributions
Field
DocType
Citations 
Stochastic simulation,Statistical physics,Stochastic optimization,Mathematical optimization,Discrete-time stochastic process,Stable process,Stochastic neural network,Stochastic process,Continuous-time stochastic process,Time reversibility,Mathematics
Conference
2
PageRank 
References 
Authors
0.46
1
3
Name
Order
Citations
PageRank
Christoph Zechner152.32
Deb, S.220.46
Koeppl, H.320.46