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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Maize Gene Regulatory Relationship Mining Using Association Rule
verfasst von : Jianxiao Liu, Chaoyang Wang, Haijun Liu, Yingjie Xiao, Songlin Hao, Xiaolong Zhang, Jianchao Sun, Huan Yu
Erschienen in: Computational Intelligence and Intelligent Systems
Verlag: Springer Singapore
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Abstract
How to mine the gene regulatory relationship, and thus to construct gene regulatory network (GRN) is of utmost interest and has become a challenging computational problem for understanding the complex regulatory mechanisms in cellular systems. In this work, we use the association rule mining method to infer the gene regulatory relationship through the steps of mining frequent set, generating rules and rule merging. This method can not only get different types of gene regulatory relationships, but also get regulatory direction among genes. Experiment results show the effectiveness of this method. In all, the association rule mining method can effectively mine gene regulatory relationships of our maize gene expression dataset.