Text mining for bioinformatics: State of the art review

Yanliang Qi; Yang Zhang; Min Song

doi:10.1109/ICCSIT.2009.5234922

Text mining for bioinformatics: State of the art review

Yanliang Qi, Yang Zhang, Min Song

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Pages	398-401
Number of pages	4
DOIs	https://doi.org/10.1109/ICCSIT.2009.5234922
Publication status	Published - 2009
Event	2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 - Beijing, China Duration: 2009 Aug 8 → 2009 Aug 11

Publication series

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

Other

Other	2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Country/Territory	China
City	Beijing
Period	09/8/8 → 09/8/11

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems
Software

Access to Document

10.1109/ICCSIT.2009.5234922

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). Article 5234922 (Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009). https://doi.org/10.1109/ICCSIT.2009.5234922

@inproceedings{5418a0466718497699aefac74d8bb4cf,

title = "Text mining for bioinformatics: State of the art review",

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.",

author = "Yanliang Qi and Yang Zhang and Min Song",

year = "2009",

doi = "10.1109/ICCSIT.2009.5234922",

language = "English",

isbn = "9781424445196",

series = "Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009",

pages = "398--401",

booktitle = "Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009",

note = "2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 ; Conference date: 08-08-2009 Through 11-08-2009",

}

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., 5234922, Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, pp. 398-401, 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, Beijing, China, 09/8/8. https://doi.org/10.1109/ICCSIT.2009.5234922

Text mining for bioinformatics: State of the art review. / Qi, Yanliang; Zhang, Yang; Song, Min.
Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009. 2009. p. 398-401 5234922 (Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Text mining for bioinformatics

T2 - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

AU - Qi, Yanliang

AU - Zhang, Yang

AU - Song, Min

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=70449088999&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449088999&partnerID=8YFLogxK

U2 - 10.1109/ICCSIT.2009.5234922

DO - 10.1109/ICCSIT.2009.5234922

M3 - Conference contribution

AN - SCOPUS:70449088999

SN - 9781424445196

T3 - Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009

SP - 398

EP - 401

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

Y2 - 8 August 2009 through 11 August 2009

ER -

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

Text mining for bioinformatics: State of the art review

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this