ISSN: 2375-3811
International Journal of Biological Sciences and Applications  
Manuscript Information
 
 
Progress on Deep Learning in Bioinformatics
International Journal of Biological Sciences and Applications
Vol.4 , No. 6, Publication Date: Oct. 17, 2017, Page: 82-86
144 Views Since October 17, 2017, 49 Downloads Since Oct. 17, 2017
 
 
Authors
 
[1]    

Yanqiu Tong, Department of Humanity, Chongqing Jiaotong University, Chongqing, China.

[2]    

Yang Song, Department of Device, Chongqing Medical University, Chongqing, China.

 
Abstract
 

With the development of next generation sequencing, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. The application of deep learning in bioinformatics has gained more attention in both academia and industry field. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. The compared research method was used to describe the application of deep learning in bioinformatics from many academic papers. In this paper, three types of deep learning algorithms (deep neural networks, convolutional neural networks, recurrent neural networks) have been introduced in bioinformatics, especially in the domain of omics. The review of this paper can provide valuable insight for researchers to utilize deep learning models in the future of bioinformatics studies.


Keywords
 

Machine Learning, Deep Learning, Bioinformatics


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