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Mining Statistically Significant Target mRNA Association Rules Based on microRNA

  • Conference paper
Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8032))

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Abstract

The relation of miRNA and mRNA are very important because miRNA can regulate almost all the biological process by cooperating with mRNA. However, the directed regulation among mRNA has not been concerned a lot. In this paper, we introduce association rule mining and hypothesis test to find the closely related mRNAs and their regulation direction based on their relation with miRNAs. Our research can further the understanding about miRNA and mRNA. Our results uncover the novel mRNA association patterns, which could not only help to construct the biological network, but also extend the application of association rule mining in bioinformatics.

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Chen, F., Wang, T., Wang, Y., Li, S., Wang, J. (2013). Mining Statistically Significant Target mRNA Association Rules Based on microRNA. In: Qin, Z., Huynh, VN. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2013. Lecture Notes in Computer Science(), vol 8032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39515-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-39515-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39514-7

  • Online ISBN: 978-3-642-39515-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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