A Particle Gibbs Sampling Approach To Topology Inference In Gene Regulatory Networks

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A Particle Gibbs Sampling Approach To Topology Inference In Gene Regulatory Networks


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A Particle Gibbs Sampling Approach To Topology Inference In Gene Regulatory Networks

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In this paper, we propose a novel Bayesian approach for estimating a gene network's topology using particle Gibbs sampling. The conditional posterior distributions of the unknowns in a state-space model describing the time evolution of gene expressions ar
In this paper, we propose a novel Bayesian approach for estimating a gene network's topology using particle Gibbs sampling. The conditional posterior distributions of the unknowns in a state-space model describing the time evolution of gene expressions ar