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 / [electronic resource] :
edited by Christian Blaschke, Hagit Shatkay.
- 1st ed. 2010.
- XII, 81 p. 10 illus. online resource.
- Lecture Notes in Bioinformatics, 6004 2366-6331 ; .
- Lecture Notes in Bioinformatics, 6004 .
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.
9783642131318
10.1007/978-3-642-13131-8 doi
Data mining.
Life sciences.
Artificial intelligence.
Algorithms.
Pattern recognition systems.
Computer vision.
Data Mining and Knowledge Discovery.
Life Sciences.
Artificial Intelligence.
Algorithms.
Automated Pattern Recognition.
Computer Vision.
QA76.9.D343
006.312
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.
9783642131318
10.1007/978-3-642-13131-8 doi
Data mining.
Life sciences.
Artificial intelligence.
Algorithms.
Pattern recognition systems.
Computer vision.
Data Mining and Knowledge Discovery.
Life Sciences.
Artificial Intelligence.
Algorithms.
Automated Pattern Recognition.
Computer Vision.
QA76.9.D343
006.312