Review of the Applications of Deep Learning in Bioinformatics

Yongqing       Zhang; Jianrong       Yan; Siyu       Chen; Meiqin       Gong; Dongrui       Gao; Min       Zhu; Wei       Gan
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.
Graphical Abstract

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