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A Survey of Data Mining and Deep Learning in Bioinformatics
Kun Lan1; Dan-tong Wang2; Simon Fong1; Lian-sheng Liu3; Kelvin K. L. Wong4; Nilanjan Dey5

The fields of medicine science and health informatics have made great progress recently and have led to in-depth analytics that is demanded by generation, collection and accumulation of massive data. Meanwhile, we are entering a new period where novel technologies are starting to analyze and explore knowledge from tremendous amount of data, bringing limitless potential for information growth. One fact that cannot be ignored is that the techniques of machine learning and deep learning applications play a more significant role in the success of bioinformatics exploration from biological data point of view, and a linkage is emphasized and established to bridge these two data analytics techniques and bioinformatics in both industry and academia. This survey concentrates on the review of recent researches using data mining and deep learning approaches for analyzing the specific domain knowledge of bioinformatics. The authors give a brief but pithy summarization of numerous data mining algorithms used for preprocessing, classification and clustering as well as various optimized neural network architectures in deep learning methods, and their advantages and disadvantages in the practical applications are also discussed and compared in terms of their industrial usage. It is believed that in this review paper, valuable insights are provided for those who are dedicated to start using data analytics methods in bioinformatics.

KeywordBioinformatics Biomedicine Data Mining Machine Learning Deep Learning
URLView the original
Indexed BySCIE
WOS Research AreaHealth Care Sciences & Services ; Medical Informatics
WOS SubjectHealth Care Sciences & Services ; Medical Informatics
WOS IDWOS:000436868700001
The Source to ArticleWOS
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Cited Times [WOS]:80   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Corresponding AuthorSimon Fong
Affiliation1.Department of Computer and Information Science, University of Macau, Taipa, Macau, China
2.Department of Media integration technology center, Zhejiang Radio & TV Group, Hangzhou, People’s Republic of China
3.First Affiliated Hospital of Guangzhou University of TCM, Guangzhou 510405, Guangdong, China
4.School of Medicine, University of Western Sydney, Sydney, NSW, Australia
5.Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal 740000, India
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Kun Lan,Dan-tong Wang,Simon Fong,et al. A Survey of Data Mining and Deep Learning in Bioinformatics[J]. JOURNAL OF MEDICAL SYSTEMS,2018,42(8).
APA Kun Lan,Dan-tong Wang,Simon Fong,Lian-sheng Liu,Kelvin K. L. Wong,&Nilanjan Dey.(2018).A Survey of Data Mining and Deep Learning in Bioinformatics.JOURNAL OF MEDICAL SYSTEMS,42(8).
MLA Kun Lan,et al."A Survey of Data Mining and Deep Learning in Bioinformatics".JOURNAL OF MEDICAL SYSTEMS 42.8(2018).
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