Journal of Artificial Intelligence for Medical Sciences

Volume 1, Issue 1-2, June 2020, Pages 23 - 29

Application of Deep Learning in Microbiome

Authors
Qiang Zhu1, 4, Ban Huo2, 4, Han Sun3, 4, Bojing Li2, 4, Xingpeng Jiang2, 4, *, ORCID
1 School of Mathematics and Computer Science, Wuhan Textile University, Wuhan, Hubei, China
2 Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan, Hubei, China
3 School of Mathematics and Statistics, Central China Normal University, Wuhan, Hubei, China
4 School of Computer, Central China Normal University, Wuhan, Hubei, China
*Corresponding author. Email: xpjiang@mail.ccnu.edu.cn
Corresponding Author
Xingpeng Jiang
Received 11 December 2019, Accepted 15 October 2020, Available Online 4 November 2020.
DOI
https://doi.org/10.2991/jaims.d.201028.001How to use a DOI?
Keywords
Microbiome, Deep learning, Phylogeny
Abstract

With the rapid development of high-throughput sequencing technology, massive microbial data has been accumulated. The understanding of the microbial data could help us to find the relationships between microbes and diseases. However, due to the high dimensionality, sparseness, and complexity of the data, traditional machine learning methods have insufficient learning and representational ability. Meanwhile, the rise of deep learning enables us to deal with these complex problems effectively. In this survey, we introduce the application of machine learning in microbial data analysis and focus on microbial classification and feature selection tasks. In particular, we discuss the current application and challenges of deep learning in microbial studies. Based on these discussions, we recommend that before using deep learning to conduct microbiome-wide association studies, it is essential to consider prior knowledge such as phylogeny, which would improve the accuracy and interpretability of the model.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Artificial Intelligence for Medical Sciences
Volume-Issue
1 - 1-2
Pages
23 - 29
Publication Date
2020/11
ISSN (Online)
2666-1470
DOI
https://doi.org/10.2991/jaims.d.201028.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Qiang Zhu
AU  - Ban Huo
AU  - Han Sun
AU  - Bojing Li
AU  - Xingpeng Jiang
PY  - 2020
DA  - 2020/11
TI  - Application of Deep Learning in Microbiome
JO  - Journal of Artificial Intelligence for Medical Sciences
SP  - 23
EP  - 29
VL  - 1
IS  - 1-2
SN  - 2666-1470
UR  - https://doi.org/10.2991/jaims.d.201028.001
DO  - https://doi.org/10.2991/jaims.d.201028.001
ID  - Zhu2020
ER  -