Title
Mining featured patterns of MiRNA interaction based on sequence and structure similarity.
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.
Year
DOI
Venue
2013
10.1109/TCBB.2013.5
IEEE/ACM Trans. Comput. Biology Bioinform.
Keywords
Field
DocType
anopheles gambiae,mirna interaction,mirna family,interaction,similarity,microrna,genetics,mirna,sequence similarity,gene expression,mirna regulatory feature,educational institutions,mirna regulatory network pattern,rna,regulatory feature,mining featured patterns,gene regulatory network,molecular biophysics,molecular configurations,structure,featured pattern mining,correlated mirna identification,mirna regulatory network,post-transcriptional gene regulation pathway,data mining,secondary structure,mirna target,databases,endogenous small noncoding rna,entropy,structure similarity,joint entropy,drosophila melanogaster,bioinformatics,computational biology,correlated mirnas,joints
RNA,Biology,microRNA,Gene expression,Regulation of gene expression,Joint entropy,Bioinformatics,Drosophila melanogaster,Gene regulatory network,Non-coding RNA
Journal
Volume
Issue
ISSN
10
2
1557-9964
Citations 
PageRank 
References 
4
0.43
15
Authors
3
Name
Order
Citations
PageRank
Qingfeng Chen1256.74
Wei Lan240.43
Jianxin Wang32163283.94