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.
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Acknowledgements
This research is supported by the National Natural Science Foundation of China under Grant No. 31601078, the Natural Science Foundation of Hubei Province under Grant No. 2016CFB231, the Fundamental Research Funds for the Central Universities under grant No. 2662018JC030, No. 2015BC017.
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Liu, J. et al. (2018). Maize Gene Regulatory Relationship Mining Using Association Rule. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_21
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DOI: https://doi.org/10.1007/978-981-13-1648-7_21
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