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Application of Machine Learning in Microbiology

期刊

FRONTIERS IN MICROBIOLOGY
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2019.00827

关键词

microorganisms; classification; environment; species; association; diseases

资金

  1. National Key RAMP
  2. D Program of China [2018YFC0910405]
  3. National Natural Science Foundation of China [61771331]

向作者/读者索取更多资源

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.

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