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Linking Literature, Information, and Knowledge for Biology [electronic resource] :Workshop of the BioLink Special Interest Group, ISMB/ECCB 2009, Stockholm, June 28-29, 2009, Revised Selected Papers /

Contributor(s): Blaschke, Christian [editor.] | Shatkay, Hagit [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 6004Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.Description: XII, 81 p. 10 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642131318.Subject(s): Computer science | Algorithms | Data mining | Artificial intelligence | Image processing | Pattern recognition | Life sciences | Computer Science | Data Mining and Knowledge Discovery | Life Sciences, general | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Pattern Recognition | Image Processing and Computer VisionOnline resources: Click here to access online
Contents:
BioLINK 2009 -- Overview of the Ninth Annual Meeting of the BioLINK SIG at ISMB: Linking Literature, Information and Knowledge for Biology -- Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns -- Summary of the BioLINK Special Interest Group Session on the Future of Scientific Publishing -- Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature -- Toward Computer-Assisted Text Curation: Classification Is Easy (Choosing Training Data Can Be Hard...) -- Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP -- Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation -- Learning from Positive and Unlabeled Documents for Retrieval of Bacterial Protein-Protein Interaction Literature -- Extracting and Normalizing Gene/Protein Mentions with the Flexible and Trainable Moara Java Library.
In: Springer eBooks
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BioLINK 2009 -- Overview of the Ninth Annual Meeting of the BioLINK SIG at ISMB: Linking Literature, Information and Knowledge for Biology -- Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns -- Summary of the BioLINK Special Interest Group Session on the Future of Scientific Publishing -- Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature -- Toward Computer-Assisted Text Curation: Classification Is Easy (Choosing Training Data Can Be Hard...) -- Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP -- Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation -- Learning from Positive and Unlabeled Documents for Retrieval of Bacterial Protein-Protein Interaction Literature -- Extracting and Normalizing Gene/Protein Mentions with the Flexible and Trainable Moara Java Library.

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