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Review
. 2019 Apr 18:10:827.
doi: 10.3389/fmicb.2019.00827. eCollection 2019.

Application of Machine Learning in Microbiology

Kaiyang Qu  1 , Fei Guo  1 , Xiangrong Liu  2 , Yuan Lin  2   3 , Quan Zou  4   5
Affiliations
Review

Application of Machine Learning in Microbiology

Kaiyang Qu et al. Front Microbiol. .

Abstract

Microorganisms are ubiquitous and closely related to people's daily lives. Since they were first discovered in the 19th century, researchers have shown great interest in microorganisms. People studied microorganisms through cultivation, but this method is expensive and time consuming. However, the cultivation method cannot keep a pace with the development of high-throughput sequencing technology. To deal with this problem, machine learning (ML) methods have been widely applied to the field of microbiology. Literature reviews have shown that ML can be used in many aspects of microbiology research, especially classification problems, and for exploring the interaction between microorganisms and the surrounding environment. In this study, we summarize the application of ML in microbiology.

Keywords: association; classification; diseases; environment; microorganisms; species.

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Figures

Figure 1
Figure 1
The framework of this paper.
Figure 2
Figure 2
The main steps of machine learning in microbiology.
See this image and copyright information in PMC

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