A hybrid Bayesian network learning method for constructing gene networks

DOI10.1016/j.compbiolchem.2007.08.005zbMath1141.92319OpenAlexW2041702814WikidataQ51905345 ScholiaQ51905345MaRDI QIDQ935999

Zuozhou Chen, Sylvie Cloutier, Ming-Yi Wang

Publication date: 12 August 2008

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2007.08.005

zbMATH Keywords

DNA microarrayhybrid learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computational methods for problems pertaining to biology (92-08) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items

Learning Bayesian networks based on bi-velocity discrete particle swarm optimization with mutation operator ⋮ Bayesian network modeling for evolutionary genetic structures ⋮ Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions

Uses Software

• pcalg

Cites Work

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• The max-min hill-climbing Bayesian network structure learning algorithm
• Causation, prediction, and search
• A Bayesian method for the induction of probabilistic networks from data
• Adaptive probabilistic networks with hidden variables
• Improving Markov chain Monte Carlo model search for data mining
• Learning Bayesian networks from data: An information-theory based approach
• Learning Bayesian networks: The combination of knowledge and statistical data
• On the incompatibility of faithfulness and monotone DAG faithfulness
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty