Text Mining in Bioinformatics: Research and Application
Yanliang Qi
Additional contact information
Yanliang Qi: Millennium Pharmaceutical, Inc., Cambridge, MA, USA
International Journal of Information Retrieval Research (IJIRR), 2013, vol. 3, issue 2, 30-39
Abstract:
Biomedical literatures have been increased at the exponential rate. To find the useful and needed information from such a huge data set is a daunting task for users. Text mining is a powerful tool to solve this problem. In this paper, we surveyed on text mining in Bioinformatics with emphasis on applications of text mining for bioinformatics. In this paper, the main research directions of text mining in bioinformatics are accompanied with detailed examples. This paper suited the need for the state-of-the-art of the field of text mining in Bioinformatics because of the rapid development in both text mining and bioinformatics. Finally, the problems and future way are identified at last.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijirr.2013040102 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:3:y:2013:i:2:p:30-39
Access Statistics for this article
International Journal of Information Retrieval Research (IJIRR) is currently edited by Zhongyu Lu
More articles in International Journal of Information Retrieval Research (IJIRR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().