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Chen, Q., Lan, W., Wang, J. (2013). Mining Featured Patterns of MiRNA Interaction Based on Sequence and Structure Similarity.  IEEE/ACM Trans. Comput. Biol. Bioinform. 10(2): 415--422.
FlyBase ID
FBrf0222372
Publication Type
Research paper
Abstract

MicroRNA (miRNA) is an endogenous small noncoding RNA that plays an important role in gene expression through the post-transcriptional gene regulation pathways. There are many literature works focusing on predicting miRNA targets and exploring gene regulatory networks of miRNA families. We suggest, however, the study to identify the interaction between miRNAs is insufficient. This paper presents a framework to identify relationships between miRNAs using joint entropy, to investigate the regulatory features of miRNAs. Both the sequence and secondary structure are taken into consideration to make our method more relevant from the biological viewpoint. Further, joint entropy is applied to identify correlated miRNAs, which are more desirable from the perspective of the gene regulatory network. A data set including Drosophila melanogaster and Anopheles gambiae is used in the experiment. The results demonstrate that our approach is able to identify known miRNA interaction and uncover novel patterns of miRNA regulatory network.

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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    IEEE/ACM Trans. Comput. Biol. Bioinform.
    Title
    IEEE/ACM transactions on computational biology and bioinformatics
    ISBN/ISSN
    1545-5963 1557-9964
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