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BMC Bioinformatics

Volume 11 Supplement 2

Third International Workshop on Data and Text Mining in Bioinformatics (DTMBio) 2009

Proceedings

Edited by Min Song, Doheon Lee and Jun Huan

Third International Workshop on Data and Text Mining in Bioinformatics (DTMBio) 2009. Go to conference site.

Hong Kong6 November 2009

  1. Content type: Proceedings

    Drug-drug interactions are frequently reported in the increasing amount of biomedical literature. Information Extraction (IE) techniques have been devised as a useful instrument to manage this knowledge. Never...

    Authors: Isabel Segura-Bedmar, Mario Crespo, César de Pablo-Sánchez and Paloma Martínez

    Citation: BMC Bioinformatics 2010 11(Suppl 2):S1

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  2. Content type: Proceedings

    Diagnosis techniques using urine are non-invasive, inexpensive, and easy to perform in clinical settings. The metabolites in urine, as the end products of cellular processes, are closely linked to phenotypes. ...

    Authors: Younghoon Kim, Imhoi Koo, Byung Hwa Jung, Bong Chul Chung and Doheon Lee

    Citation: BMC Bioinformatics 2010 11(Suppl 2):S4

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  3. Content type: Proceedings

    With the rapid development of genome sequencing techniques, traditional research methods based on the isolation and cultivation of microorganisms are being gradually replaced by metagenomics, which is also kno...

    Authors: Bin Yang, Yu Peng, Henry Chi-Ming Leung, Siu-Ming Yiu, Jing-Chi Chen and Francis Yuk-Lun Chin

    Citation: BMC Bioinformatics 2010 11(Suppl 2):S5

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  4. Content type: Proceedings

    Finding relevant articles from PubMed is challenging because it is hard to express the user's specific intention in the given query interface, and a keyword query typically retrieves a large number of results....

    Authors: Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim and Wook-Shin Han

    Citation: BMC Bioinformatics 2010 11(Suppl 2):S6

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  5. Content type: Proceedings

    Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used with great success in this task but they te...

    Authors: Yanpeng Li, Xiaohua Hu, Hongfei Lin and Zhihao Yang

    Citation: BMC Bioinformatics 2010 11(Suppl 2):S7

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