Text mining for bioinformatics: State of the art review

Yanliang Qi, Yang Zhang, Min Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Pages398-401
Number of pages4
DOIs
Publication statusPublished - 2009 Nov 12
Event2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 - Beijing, China
Duration: 2009 Aug 82009 Aug 11

Publication series

NameProceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

Other

Other2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
CountryChina
CityBeijing
Period09/8/809/8/11

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Software

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  • Cite this

    Qi, Y., Zhang, Y., & Song, M. (2009). Text mining for bioinformatics: State of the art review. In Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 (pp. 398-401). [5234922] (Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009). https://doi.org/10.1109/ICCSIT.2009.5234922