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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
Overall attention for this book and its chapters
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9 X users
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1 Wikipedia page

Citations

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Title
Data Integration in the Life Sciences
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-06016-9
ISBNs
978-3-03-006015-2, 978-3-03-006016-9
Editors

Auer, Sören, Vidal, Maria-Esther

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 33%
Student > Ph. D. Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 2 33%
Mathematics 1 17%
Unknown 3 50%

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