Database technology for life sciences and medicine /:
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 t...
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Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore ; Hackensack, NJ :
World Scientific,
©2010.
|
Schriftenreihe: | Science, engineering, and biology informatics ;
v. 6. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. |
Beschreibung: | 1 online resource (x, 378 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 345-378). |
ISBN: | 9789814307710 9814307718 |
Internformat
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505 | 0 | |a 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. | |
520 | |a 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. | ||
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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. |
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dewey-sort | 3572.80285 |
dewey-tens | 570 - Biology |
discipline | Biologie |
format | Electronic eBook |
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series | Science, engineering, and biology informatics ; |
series2 | Science, engineering, and biology informatics ; |
spelling | Database technology for life sciences and medicine / editors, Claudia Plant, Christian Böhm. Singapore ; Hackensack, NJ : World Scientific, ©2010. 1 online resource (x, 378 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Science, engineering, and biology informatics ; v. 6 Includes bibliographical references (pages 345-378). 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. 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. Print version record. Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Medical informatics. http://id.loc.gov/authorities/subjects/sh89005069 Life sciences Data processing. Database management. http://id.loc.gov/authorities/subjects/sh85035848 Databases as Topic Computational Biology methods Medical Informatics methods Computational Biology https://id.nlm.nih.gov/mesh/D019295 Bio-informatique. Médecine Informatique. Sciences de la vie Informatique. Bases de données Gestion. COMPUTERS Bioinformatics. bisacsh Bioinformatics fast Database management fast Life sciences Data processing fast Medical informatics fast Plant, Claudia. https://id.oclc.org/worldcat/entity/E39PCjxmpd63dbcWmphD79wpyd http://id.loc.gov/authorities/names/n2011180798 Böhm, Christian, 1968- https://id.oclc.org/worldcat/entity/E39PCjJKJ38xBMkpBbvrbMFxQm http://id.loc.gov/authorities/names/n2011180799 Print version: Database technology for life sciences and medicine. Hackensack, NJ : World Scientific, ©2010 9789814307703 (OCoLC)705260769 Science, engineering, and biology informatics ; v. 6. http://id.loc.gov/authorities/names/no2007052160 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=374802 Volltext |
spellingShingle | Database technology for life sciences and medicine / Science, engineering, and biology informatics ; 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. Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Medical informatics. http://id.loc.gov/authorities/subjects/sh89005069 Life sciences Data processing. Database management. http://id.loc.gov/authorities/subjects/sh85035848 Databases as Topic Computational Biology methods Medical Informatics methods Computational Biology https://id.nlm.nih.gov/mesh/D019295 Bio-informatique. Médecine Informatique. Sciences de la vie Informatique. Bases de données Gestion. COMPUTERS Bioinformatics. bisacsh Bioinformatics fast Database management fast Life sciences Data processing fast Medical informatics fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh00003585 http://id.loc.gov/authorities/subjects/sh89005069 http://id.loc.gov/authorities/subjects/sh85035848 https://id.nlm.nih.gov/mesh/D019295 |
title | Database technology for life sciences and medicine / |
title_auth | Database technology for life sciences and medicine / |
title_exact_search | Database technology for life sciences and medicine / |
title_full | Database technology for life sciences and medicine / editors, Claudia Plant, Christian Böhm. |
title_fullStr | Database technology for life sciences and medicine / editors, Claudia Plant, Christian Böhm. |
title_full_unstemmed | Database technology for life sciences and medicine / editors, Claudia Plant, Christian Böhm. |
title_short | Database technology for life sciences and medicine / |
title_sort | database technology for life sciences and medicine |
topic | Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Medical informatics. http://id.loc.gov/authorities/subjects/sh89005069 Life sciences Data processing. Database management. http://id.loc.gov/authorities/subjects/sh85035848 Databases as Topic Computational Biology methods Medical Informatics methods Computational Biology https://id.nlm.nih.gov/mesh/D019295 Bio-informatique. Médecine Informatique. Sciences de la vie Informatique. Bases de données Gestion. COMPUTERS Bioinformatics. bisacsh Bioinformatics fast Database management fast Life sciences Data processing fast Medical informatics fast |
topic_facet | Bioinformatics. Medical informatics. Life sciences Data processing. Database management. Databases as Topic Computational Biology methods Medical Informatics methods Computational Biology Bio-informatique. Médecine Informatique. Sciences de la vie Informatique. Bases de données Gestion. COMPUTERS Bioinformatics. Bioinformatics Database management Life sciences Data processing Medical informatics |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=374802 |
work_keys_str_mv | AT plantclaudia databasetechnologyforlifesciencesandmedicine AT bohmchristian databasetechnologyforlifesciencesandmedicine |