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Survey of Natural Language Processing Techniques in Bioinformatics
Joint Authors
Wu, Yun
Shi, Hua
Zeng, Zhiqiang
Hong, Zhiling
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research.
In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives.
First, we aim to search for knowledge on biology, retrieve references using text mining methods, and reconstruct databases.
For example, protein-protein interactions and gene-disease relationship can be mined from PubMed.
Then, we analyze the applications of text mining and natural language processing techniques in bioinformatics, including predicting protein structure and function, detecting noncoding RNA.
Finally, numerous methods and applications, as well as their contributions to bioinformatics, are discussed for future use by text mining and natural language processing researchers.
American Psychological Association (APA)
Zeng, Zhiqiang& Shi, Hua& Wu, Yun& Hong, Zhiling. 2015. Survey of Natural Language Processing Techniques in Bioinformatics. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057967
Modern Language Association (MLA)
Zeng, Zhiqiang…[et al.]. Survey of Natural Language Processing Techniques in Bioinformatics. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057967
American Medical Association (AMA)
Zeng, Zhiqiang& Shi, Hua& Wu, Yun& Hong, Zhiling. Survey of Natural Language Processing Techniques in Bioinformatics. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057967
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057967