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Advances in the Techniques for the Prediction of microRNA Targets

by 1,2,†, 3,†, 4, 5, 6,* and 2,*
School of Electrical and Computer Engineering, Georgia Institute of Technology, 225 North Avenue NW, Atlanta, GA 30301, USA
Department of Biomedical Science, Mercer University School of Medicine, Savannah Campus, 4700 Waters Ave, Savannah, GA 31404, USA
Department of Nephrology, Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an 710004, Shannxi, China
Department of Epidemiology, School of Public Health, Shanxi Medical University, 56 Xin Jian Nan Road, Taiyuan 030001, Shanxi, China
Animal Reproduction Institute of Guangxi University, 100 Daxue Road, Nanning 530005, Guangxi, China
Department of Histology and Embryology, Shantou University Medical College, 22 Xinling Road, Shantou 515041, Guangdong, China
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2013, 14(4), 8179-8187;
Received: 7 January 2013 / Revised: 1 April 2013 / Accepted: 2 April 2013 / Published: 15 April 2013
(This article belongs to the Special Issue Regulation by non-coding RNAs 2013)
MicroRNAs (miRNAs) are small, non-coding, endogenous RNA molecules that play important roles in a variety of normal and diseased biological processes by post-transcriptionally regulating the expression of target genes. They can bind to target messenger RNA (mRNA) transcripts of protein-coding genes and negatively control their translation or cause mRNA degradation. miRNAs have been found to actively regulate a variety of cellular processes, including cell proliferation, death, and metabolism. Therefore, their study is crucial for the better understanding of cellular functions in eukaryotes. To better understand the mechanisms of miRNA: mRNA interaction and their cellular functions, it is important to identify the miRNA targets accurately. In this paper, we provide a brief review for the advances in the animal miRNA target prediction methods and available resources to facilitate further study of miRNAs and their functions. View Full-Text
Keywords: prediction; microRNA; feature selection prediction; microRNA; feature selection
MDPI and ACS Style

Zheng, H.; Fu, R.; Wang, J.-T.; Liu, Q.; Chen, H.; Jiang, S.-W. Advances in the Techniques for the Prediction of microRNA Targets. Int. J. Mol. Sci. 2013, 14, 8179-8187.

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