
Parametre
Viac o knihe
InhaltsverzeichnisBioLINK 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.
Nákup knihy
Linking, literature, information, and knowledge for biology, Christian Blaschke
- Jazyk
- Rok vydania
- 2010
- product-detail.submit-box.info.binding
- (mäkká)
Doručenie
Platobné metódy
Navrhnúť zmenu
- Titul
- Linking, literature, information, and knowledge for biology
- Jazyk
- anglicky
- Autori
- Christian Blaschke
- Vydavateľ
- Springer
- Rok vydania
- 2010
- Väzba
- mäkká
- ISBN10
- 3642131301
- ISBN13
- 9783642131301
- Kategórie
- Skriptá a vysokoškolské učebnice
- Anotácia
- InhaltsverzeichnisBioLINK 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.