| Description |
1 online resource (x, 378 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Science, engineering, and biology informatics ; v. 6
|
|
Science, engineering, and biology informatics ; v. 6.
|
| Bibliography |
Includes bibliographical references (pages 345-378). |
| Contents |
1. Biomedical databases and data mining. 1.1. Databases and knowledge discovery in biomedicine. 1.2. Outline of this book -- 2. DYNASTAT : A methodology for modeling of multiagent systems. 2.1. Introduction. 2.2. Literature review. 2.3. DYNASTAT methodology. 2.4. Use of UML 2.2 in the framework of DYNASTAT methodology. 2.5. UML to model medical multi-agent systems. 2.6. Possible applications. 2.7. Conclusion -- 3. SciPort : An extensible data management platform for biomedical research. 3.1. Introduction. 3.2. Related work. 3.3. Unified scientific data modeling. 3.4. Document authoring and searching. 3.5. Sharing distributed biomedical data. 3.6. The architecture of SciPort. 3.7. Conclusion -- 4. An integrative framework for anonymizing clinical and genomic data. 4.1. Introduction. 4.2. Related work. 4.3. The DIANOVA framework. 4.4. Algorithms for realizing DIANOVA. 4.5. Extensions of DIANOVA. 4.6. Conclusion -- 5. Data integration challenges : A systems biology perspective. 5.1. Introduction. 5.2. Modeling biological systems. 5.3. Biological and mathematical data sources. 5.4. Various data exchange formats in systems biology. 5.5. Building an integrative framework to combine modeling and biological data sources. 5.6. Analysis of the developed integrative environment. 5.7. Conclusion -- 6. Ontology-based data integration : A case study in clinical trials. |
| Summary |
This book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine. A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Bioinformatics.
|
|
Bioinformatics. |
|
Medical informatics.
|
|
Medical informatics. |
|
Life sciences -- Data processing.
|
|
Life sciences -- Data processing. |
|
Life sciences. |
|
Database management.
|
|
Database management. |
|
Databases as Topic. |
|
Computational Biology -- methods. |
|
Medical Informatics -- methods. |
| Genre/Form |
Electronic books.
|
| Added Author |
Plant, Claudia.
|
|
Böhm, Christian, 1968-
|
| Other Form: |
Print version: Database technology for life sciences and medicine. Hackensack, NJ : World Scientific, ©2010 9789814307703 (OCoLC)705260769 |
| ISBN |
9789814307710 (electronic book) |
|
9814307718 (electronic book) |
|
9789814307703 |
|
981430770X |
|
