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Data Integration in the Life Sciences

Overview of attention for book
Cover of 'Data Integration in the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities
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    Chapter 2 Combining Semantic and Lexical Measures to Evaluate Medical Terms Similarity
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    Chapter 3 Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database
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    Chapter 4 A Knowledge-Driven Pipeline for Transforming Big Data into Actionable Knowledge
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    Chapter 5 Leaving No Stone Unturned: Using Machine Learning Based Approaches for Information Extraction from Full Texts of a Research Data Warehouse
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    Chapter 6 Towards Research Infrastructures that Curate Scientific Information: A Use Case in Life Sciences
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    Chapter 7 Interactive Visualization for Large-Scale Multi-factorial Research Designs
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    Chapter 8 FedSDM: Semantic Data Manager for Federations of RDF Datasets
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    Chapter 9 Poster Paper Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale
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    Chapter 10 DISBi: A Flexible Framework for Integrating Systems Biology Data
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    Chapter 11 Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation
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    Chapter 12 Automated Coding of Medical Diagnostics from Free-Text: The Role of Parameters Optimization and Imbalanced Classes
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    Chapter 13 A Learning-Based Approach to Combine Medical Annotation Results
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    Chapter 14 Knowledge Graph Completion to Predict Polypharmacy Side Effects
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    Chapter 15 Lung Cancer Concept Annotation from Spanish Clinical Narratives
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    Chapter 16 Linked Data Based Multi-omics Integration and Visualization for Cancer Decision Networks
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    Chapter 17 The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 Years of Experience
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    Chapter 18 User-Driven Development of a Novel Molecular Tumor Board Support Tool
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    Chapter 19 Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data
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    Chapter 20 Converting Alzheimer’s Disease Map into a Heavyweight Ontology: A Formal Network to Integrate Data
Attention for Chapter 10: DISBi: A Flexible Framework for Integrating Systems Biology Data
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Citations

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Chapter title
DISBi: A Flexible Framework for Integrating Systems Biology Data
Chapter number 10
Book title
Data Integration in the Life Sciences
Published by
Springer, Cham, November 2018
DOI 10.1007/978-3-030-06016-9_10
Book ISBNs
978-3-03-006015-2, 978-3-03-006016-9
Authors

Rüdiger Busche, Henning Dannheim, Dietmar Schomburg, Busche, Rüdiger, Dannheim, Henning, Schomburg, Dietmar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Student > Doctoral Student 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%

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