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A Review on the Application of Deep Learning in Bioinformatics

Author(s):

Yongqing Zhang, Jianrong Yan, Siyu Chen, Meiqin Gong, Dongrui Gao, Min Zhu* and Wei Gan   Pages 1 - 16 ( 16 )

Abstract:


With the rapid growth of biological information, biological science technology has greatly enriched the biology and medicine data resources. The latest advantages of deep learning have achieved the state-or-the-art performance on high dimensional, non-structural and less explanatory biological data. The aim of this paper is to provide an overview of deep learning techniques and some of the-state-of-art applications in biology and medicine field. Specifically, we introduce the fundamental of deep learning methods, and then review their successes to bioinformatics, biomedical image, biomedicine and drug discovery. We also discuss the challenges, limitations and further improvement of this area.

Keywords:

Bioinformatics, Biomedical, Deep Learning

Affiliation:

School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, School of Computer Science, Sichuan University, Chengdu 610065, School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, West China Second University Hospital, Sichuan University, Chengdu 610041, School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, School of Computer Science, Sichuan University, Chengdu 610065, School of Computer Science, Sichuan University, Chengdu 610065



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