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Volume 8 Supplement 9

First International Workshop on Text Mining in Bioinformatics (TMBio) 2006


Edited by Min Song and Zoran Obradovic

ACM First International Workshop on Text Mining in Bioinformatics (TMBio) 2006. Go to conference site.

Arlington, VA, USA10 November 2006

  1. Content type: Proceedings

    Biomedical ontologies are emerging as critical tools in genomic and proteomic research, where complex data in disparate resources need to be integrated. A number of ontologies describe properties that can be a...

    Authors: Darren A Natale, Cecilia N Arighi, Winona C Barker, Judith Blake, Ti-Cheng Chang, Zhangzhi Hu, Hongfang Liu, Barry Smith and Cathy H Wu

    Citation: BMC Bioinformatics 2007 8(Suppl 9):S1

    Published on:

  2. Content type: Proceedings

    Annotating genes and their products with Gene Ontology codes is an important area of research. One approach is to use the information available about these genes in the biomedical literature. The goal in this ...

    Authors: Padmini Srinivasan and Xin Ying Qiu

    Citation: BMC Bioinformatics 2007 8(Suppl 9):S3

    Published on:

  3. Content type: Proceedings

    A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free text, document clustering and text summariz...

    Authors: Illhoi Yoo, Xiaohua Hu and Il-Yeol Song

    Citation: BMC Bioinformatics 2007 8(Suppl 9):S4

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  4. Content type: Proceedings

    With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building literature mining applications. In this study, w...

    Authors: Manabu Torii, Zhang-zhi Hu, Min Song, Cathy H Wu and Hongfang Liu

    Citation: BMC Bioinformatics 2007 8(Suppl 9):S5

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2017 Journal Metrics

  • Citation Impact
    2.213 - 2-year Impact Factor
    3.114 - 5-year Impact Factor
    0.878 - Source Normalized Impact per Paper (SNIP)
    1.479 - SCImago Journal Rank (SJR)


    Social Media Impact
    4446 mentions