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Data Integration in the Life Sciences

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Cover of 'Data Integration in the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 An Asset Management Approach to Continuous Integration of Heterogeneous Biomedical Data
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    Chapter 2 Mining Linked Open Data: A Case Study with Genes Responsible for Intellectual Disability
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    Chapter 3 Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System
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    Chapter 4 Data Management Experiences and Best Practices from the Perspective of a Plant Research Institute
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    Chapter 5 A Semantic Web Faceted Search System for Facilitating Building of Biodiversity and Ecosystems Services
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    Chapter 6 Handling Multiple Foci in Graph Databases
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    Chapter 7 Completing the is-a Structure of Biomedical Ontologies
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    Chapter 8 Annotation-Based Feature Extraction from Sets of SBML Models
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    Chapter 9 REX – A Tool for Discovering Evolution Trends in Ontology Regions
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    Chapter 10 Towards Visualizing the Alignment of Large Biomedical Ontologies
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    Chapter 11 Discovering Relations between Indirectly Connected Biomedical Concepts
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    Chapter 12 Exploiting Semantics from Ontologies and Shared Annotations to Partition Linked Data
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    Chapter 13 ConQuR-Bio: Consensus Ranking with Query Reformulation for Biological Data
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    Chapter 14 An Introduction to the Data Retrieval Facilities of the XQt Language for Scientific Data
Attention for Chapter 11: Discovering Relations between Indirectly Connected Biomedical Concepts
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Citations

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17 Mendeley
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Chapter title
Discovering Relations between Indirectly Connected Biomedical Concepts
Chapter number 11
Book title
Data Integration in the Life Sciences
Published by
Springer, Cham, July 2014
DOI 10.1007/978-3-319-08590-6_11
Book ISBNs
978-3-31-908589-0, 978-3-31-908590-6
Authors

Dirk Weissenborn, Michael Schroeder, George Tsatsaronis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 41%
Professor 3 18%
Student > Master 3 18%
Student > Ph. D. Student 1 6%
Other 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 9 53%
Agricultural and Biological Sciences 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Energy 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 3 18%