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[期刊论文][Research article]
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Automatic inference of multicellular regulatory networks using informative priors
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作 者：
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Xiaoyun Sun;Pengyu Hong;
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出版年：2009
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页 码：115 - 115
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出版社：Inderscience Publishers
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摘 要：
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To fully understand the mechanisms governing animal development, computational models and algorithms are needed to enable quantitative studies of the underlying regulatory networks. We developed a mathematical model based on dynamic Bayesian networks to model multicellular regulatory networks that govern cell differentiation processes. A machine-learning method was developed to automatically infer such a model from heterogeneous data. We show that the model inference procedure can be greatly improved by incorporating interaction data across species. The proposed approach was applied to C. elegans vulval induction to reconstruct a model capable of simulating C. elegans vulval induction under 73 different genetic conditions.
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关键字：
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TECHNICAL JOURNALS; Biosciences and Bioinformatics; COMPUTING AND MATHEMATICS JOURNALS; Computing Science, Applications and Software; HEALTHCARE AND LEISURE JOURNALS; Healthcare and Medical Engineering
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所属期刊
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ISSN: 1756-0756
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来自：Inderscience Publishers
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