@article{(Open Science Index):https://publications.waset.org/pdf/10003520,
	  title     = {Prediction of MicroRNA-Target Gene by Machine Learning Algorithms in Lung Cancer Study},
	  author    = {Nilubon Kurubanjerdjit and  Nattakarn Iam-On and  Ka-Lok Ng},
	  country	= {},
	  institution	= {},
	  abstract     = {MicroRNAs are small non-coding RNA found in
many different species. They play crucial roles in cancer such as
biological processes of apoptosis and proliferation. The identification
of microRNA-target genes can be an essential first step towards to
reveal the role of microRNA in various cancer types. In this paper,
we predict miRNA-target genes for lung cancer by integrating
prediction scores from miRanda and PITA algorithms used as a
feature vector of miRNA-target interaction. Then, machine-learning
algorithms were implemented for making a final prediction. The
approach developed in this study should be of value for future studies
into understanding the role of miRNAs in molecular mechanisms
enabling lung cancer formation.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {10},
	  number    = {2},
	  year      = {2016},
	  pages     = {52 - 55},
	  ee        = {https://publications.waset.org/pdf/10003520},
	  url   	= {https://publications.waset.org/vol/110},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 110, 2016},
	}