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Review of the Applications of Deep Learning in Bioinformatics

[ Vol. 15 , Issue. 8 ]

Author(s):

Yongqing Zhang, Jianrong Yan, Siyu Chen, Meiqin Gong, Dongrui Gao, Min Zhu* and Wei Gan   Pages 898 - 911 ( 14 )

Abstract:


Rapid advances in biological research over recent years have significantly enriched biological and medical data resources. Deep learning-based techniques have been successfully utilized to process data in this field, and they have exhibited state-of-the-art performances even on high-dimensional, nonstructural, and black-box biological data. The aim of the current study is to provide an overview of the deep learning-based techniques used in biology and medicine and their state-of-the-art applications. In particular, we introduce the fundamentals of deep learning and then review the success of applying such methods to bioinformatics, biomedical imaging, biomedicine, and drug discovery. We also discuss the challenges and limitations of this field, and outline possible directions for further research.

Keywords:

Bioinformatics, biomedical, deep learning, biological data, high-throughput, high-dimensional.

Affiliation:

School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, 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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