Modelling Nonstationary Gene Regulatory Processes

DOI10.1155/2010/749848zbMath1219.92031OpenAlexW2000803752WikidataQ41904048 ScholiaQ41904048MaRDI QIDQ3002745

Dirk Husmeier, Marco Grzegorcyzk, Jörg Rahnenführer

Publication date: 24 May 2011

Published in: Advances in Bioinformatics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2010/749848

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Systems biology, networks (92C42)

Cites Work

• Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move
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• A Bayesian method for the induction of probabilistic networks from data
• Estimating the dimension of a model
• Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
• Inference from iterative simulation using multiple sequences
• Inferring Spatial Phylogenetic Variation Along Nucleotide Sequences
• Bayesian Graphical Models for Discrete Data

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