Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining

Ding Xiaorong; Zha Qinglin; Lu Aiping

doi:10.1109/ICBBE.2009.5163368

Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining

Ding Xiaorong
, Zha Qinglin
, Lu Aiping^*

^*Corresponding author for this work

Office of the Dean of Chinese Medicine

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

In traditional Chinese medicine, different diseases might be treated with the same therapy if they show the same pattern, which suggests that these different diseases could have the similar biological pathway or network in some specific fields. Rheumatoid arthritis (RA) and ulcerative colitis (UC) were taken for the potential shared biological network exploration with data mining approach. Text mining tool was applied to analyze the PubMed literature database and integrate the available biological information to seeking the potential biological network shared in RA and UC. The results show that RA and UC have immune and metabolically shared network obtained from analysis on the PubMed database with text mining. It could be concluded that the text mining could be used to explore the potentially biological network shared by different diseases, which further help for leading some new findings in human or animal study.

Original language	English
Title of host publication	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Place of Publication	New York
Publisher	IEEE
Number of pages	3
ISBN (Electronic)	9781424429028
ISBN (Print)	9781424429011
DOIs	https://doi.org/10.1109/ICBBE.2009.5163368
Publication status	Published - 11 Jun 2009
Event	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, China Duration: 11 Jun 2009 → 13 Jun 2009 https://ieeexplore.ieee.org/xpl/conhome/5162127/proceeding (Conference Proceedings)

Publication series

Name	International Conference on Bioinformatics and Biomedical Engineering, iCBBE
ISSN (Print)	2151-7614
ISSN (Electronic)	2151-7622

Conference

Conference	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
Country/Territory	China
City	Beijing
Period	11/06/09 → 13/06/09
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5162127/proceeding (Conference Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

User-Defined Keywords

Biological network
Rheumatoid arthritis
Text mining
Ulcerative colitis

Access to Document

10.1109/ICBBE.2009.5163368

Cite this

Xiaorong, D., Qinglin, Z., & Aiping, L. (2009). Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining. In 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 (International Conference on Bioinformatics and Biomedical Engineering, iCBBE). IEEE. https://doi.org/10.1109/ICBBE.2009.5163368

@inproceedings{68847ba93db64948b41cc5757fb7fde3,

title = "Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining",

abstract = "In traditional Chinese medicine, different diseases might be treated with the same therapy if they show the same pattern, which suggests that these different diseases could have the similar biological pathway or network in some specific fields. Rheumatoid arthritis (RA) and ulcerative colitis (UC) were taken for the potential shared biological network exploration with data mining approach. Text mining tool was applied to analyze the PubMed literature database and integrate the available biological information to seeking the potential biological network shared in RA and UC. The results show that RA and UC have immune and metabolically shared network obtained from analysis on the PubMed database with text mining. It could be concluded that the text mining could be used to explore the potentially biological network shared by different diseases, which further help for leading some new findings in human or animal study.",

keywords = "Biological network, Rheumatoid arthritis, Text mining, Ulcerative colitis",

author = "Ding Xiaorong and Zha Qinglin and Lu Aiping",

note = "Publisher Copyright: {\textcopyright} 2009 by the Institute of Electrical and Electronic Engineers, Inc.; 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 ; Conference date: 11-06-2009 Through 13-06-2009",

year = "2009",

month = jun,

day = "11",

doi = "10.1109/ICBBE.2009.5163368",

language = "English",

isbn = "9781424429011",

series = "International Conference on Bioinformatics and Biomedical Engineering, iCBBE",

publisher = "IEEE",

booktitle = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/5162127/proceeding",

}

Xiaorong, D, Qinglin, Z & Aiping, L 2009, Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining. in 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. International Conference on Bioinformatics and Biomedical Engineering, iCBBE, IEEE, New York, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, Beijing, China, 11/06/09. https://doi.org/10.1109/ICBBE.2009.5163368

Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining. / Xiaorong, Ding; Qinglin, Zha; Aiping, Lu.
3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. New York: IEEE, 2009. (International Conference on Bioinformatics and Biomedical Engineering, iCBBE).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining

AU - Xiaorong, Ding

AU - Qinglin, Zha

AU - Aiping, Lu

PY - 2009/6/11

Y1 - 2009/6/11

N2 - In traditional Chinese medicine, different diseases might be treated with the same therapy if they show the same pattern, which suggests that these different diseases could have the similar biological pathway or network in some specific fields. Rheumatoid arthritis (RA) and ulcerative colitis (UC) were taken for the potential shared biological network exploration with data mining approach. Text mining tool was applied to analyze the PubMed literature database and integrate the available biological information to seeking the potential biological network shared in RA and UC. The results show that RA and UC have immune and metabolically shared network obtained from analysis on the PubMed database with text mining. It could be concluded that the text mining could be used to explore the potentially biological network shared by different diseases, which further help for leading some new findings in human or animal study.

AB - In traditional Chinese medicine, different diseases might be treated with the same therapy if they show the same pattern, which suggests that these different diseases could have the similar biological pathway or network in some specific fields. Rheumatoid arthritis (RA) and ulcerative colitis (UC) were taken for the potential shared biological network exploration with data mining approach. Text mining tool was applied to analyze the PubMed literature database and integrate the available biological information to seeking the potential biological network shared in RA and UC. The results show that RA and UC have immune and metabolically shared network obtained from analysis on the PubMed database with text mining. It could be concluded that the text mining could be used to explore the potentially biological network shared by different diseases, which further help for leading some new findings in human or animal study.

KW - Biological network

KW - Rheumatoid arthritis

KW - Text mining

KW - Ulcerative colitis

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U2 - 10.1109/ICBBE.2009.5163368

DO - 10.1109/ICBBE.2009.5163368

M3 - Conference proceeding

AN - SCOPUS:72749122749

SN - 9781424429011

T3 - International Conference on Bioinformatics and Biomedical Engineering, iCBBE

BT - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

PB - IEEE

CY - New York

T2 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Y2 - 11 June 2009 through 13 June 2009

ER -

Seeking potential biological network shared in rheumatoid arthritis and ulcerative colitis through text mining

Abstract

Publication series

Conference

UN SDGs

User-Defined Keywords

Access to Document

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