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- W2945550758 abstract "The reconstruction of gene regulation network is the basis of functional genome research. It is helpful to understand the mechanism of gene regulation and explore the complex life system and its essence. The traditional Bias method has high complexity and can only construct a small scale gene regulation network. The information theory method has many false positive sides and can’t speculate on the gene cause. In this paper, based on ordered conditional mutual information and finite parent nodes, this paper proposes a OCMIPN algorithm. OCMIPN method for fast construction of gene regulation network. First, the gene regulation correlation network is constructed by orderly conditional mutual information, and the parent node of each gene node is restricted according to the topological prior knowledge of gene regulation network. The number, using the Bayesian method to deduce the gene regulation network structure, effectively reducing the time computation complexity of the algorithm. The results of simulation experiments on artificial synthetic network and real biological molecular network show that the OCMIPN method can not only build high precision gene regulation network, but also have low computational complexity." @default.
- W2945550758 created "2019-05-29" @default.
- W2945550758 creator A5002890940 @default.
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- W2945550758 date "2019-01-01" @default.
- W2945550758 modified "2023-09-24" @default.
- W2945550758 title "Construction of Gene Regulatory Networks Based on Ordered Conditional Mutual Information and Limited Parent Nodes" @default.
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- W2945550758 doi "https://doi.org/10.1007/978-981-13-3648-5_230" @default.
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