Reverse engineering gene regulatory networks using approximate Bayesian computation

Andréa Rau; Florence Jaffrézic; Jean Louis Foulley; R. W. Doerge

doi:10.1007/s11222-011-9309-1

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Reverse engineering gene regulatory networks using approximate Bayesian computation

Andréa Rau Florence Jaffrézic Jean Louis Foulley R. W. Doerge

Year: 2011 Journal: Statistics and Computing Vol: 22 (6)Pages: 1257-1271 Publisher: Springer Science+Business Media

DOI: 10.1007/s11222-011-9309-1

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Keywords:

Gene regulatory network Computer science Inference Reverse engineering Markov chain Monte Carlo Bayesian network Approximate Bayesian computation Curse of dimensionality Computational biology Dynamic Bayesian network Bayesian probability Data mining Gene Machine learning Gene expression Biology Artificial intelligence Genetics

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Gene Regulatory Network Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Markov Chains and Monte Carlo Methods

Physical Sciences → Mathematics → Statistics and Probability

Probabilistic and Robust Engineering Design

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Reverse engineering gene regulatory networks using approximate Bayesian computation

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Citation History

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