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Linking, Literature, Information, and Knowledge for Biologie

Workshop of the BioLINK Special Interest Group, ISBM/ECCB 2009, Stockholm, June 28-29, 2009, Revised Selected Papers

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Christian Blaschke

    1. Bioalma, Tres Cantos, Madrid, Spain

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  2. Hagit Shatkay

    1. Computational Biology and Machine Learning Lab, School of Computing, Queen’s University, Kingston, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6004)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

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Table of contents (9 papers)

  1. Front Matter

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  2. BioLINK 2009

    1. Overview of the Ninth Annual Meeting of the BioLINK SIG at ISMB: Linking Literature, Information and Knowledge for Biology

      • Christian Blaschke, Lynette Hirschman, Hagit Shatkay, Alfonso Valencia
      Pages 1-7

    2. Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns

      • Luis Pedro Coelho, Estelle Glory-Afshar, Joshua Kangas, Shannon Quinn, Aabid Shariff, Robert F. Murphy
      Pages 8-18

    3. Summary of the BioLINK Special Interest Group Session on the Future of Scientific Publishing

      • Scott Markel
      Pages 19-22

    4. Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature

      • Luís Pedro Coelho, Amr Ahmed, Andrew Arnold, Joshua Kangas, Abdul-Saboor Sheikh, Eric P. Xing et al.
      Pages 23-32

    5. Toward Computer-Assisted Text Curation: Classification Is Easy (Choosing Training Data Can Be Hard...)

      • Robert Denroche, Ramana Madupu, Shibu Yooseph, Granger Sutton, Hagit Shatkay
      Pages 33-42

    6. Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP

      • Andrew D. Fox, William A. Baumgartner Jr., Helen L. Johnson, Lawrence E. Hunter, Donna K. Slonim
      Pages 43-52

    7. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation

      • Dimitar Hristovski, Andrej Kastrin, Borut Peterlin, Thomas C. Rindflesch
      Pages 53-61

    8. Learning from Positive and Unlabeled Documents for Retrieval of Bacterial Protein-Protein Interaction Literature

      • Hongfang Liu, Manabu Torii, Guixian Xu, Zhangzhi Hu, Johannes Goll
      Pages 62-70

    9. Extracting and Normalizing Gene/Protein Mentions with the Flexible and Trainable Moara Java Library

      • Mariana L. Neves, José Maria Carazo, Alberto Pascual-Montano
      Pages 71-80

  3. Back Matter

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Keywords

Editors and Affiliations

  • Bioalma, Tres Cantos, Madrid, Spain

    Christian Blaschke

  • Computational Biology and Machine Learning Lab, School of Computing, Queen’s University, Kingston, Canada

    Hagit Shatkay

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