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Data Integration in the Life Sciences

11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Naveen Ashish

    1. USC Stevens Neuroimaging and Informatics Institute, Los Angeles, USA

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  2. Jose-Luis Ambite

    1. USC Information Sciences Institute, Marina del Rey, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9162)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: DILS 2015.

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About this book

This book constitutes the proceedings of the 11th International Conference on Data Integration in the Life Sciences, DILS 2015, held in Los Angeles, CA, USA, in July 2015.

The 24 papers presented in this volume were carefully reviewed and selected from 40 submissions. They are organized in topical sections named: data integration technologies; ontology and knowledge engineering for data integration; biomedical data standards and coding; medical research applications; and graduate student consortium.

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Table of contents (24 papers)

  1. Front Matter

    Pages I-XI
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  2. Data Integration Technologies

    1. Front Matter

      Pages 1-1
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    2. Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury

      • Casey L. Overby, Alejandro Flores, Guillermo Palma, Maria-Esther Vidal, Elena Zotkina, Louiqa Raschid
      Pages 3-12

    3. GEM: The GAAIN Entity Mapper

      • Naveen Ashish, Peehoo Dewan, Jose-Luis Ambite, Arthur W. Toga
      Pages 13-27

    4. Data Integration in the Human Brain Project

      • Tassos Venetis, Vasilis Vassalos
      Pages 28-36

    5. SchizConnect: Virtual Data Integration in Neuroimaging

      • Jose Luis Ambite, Marcelo Tallis, Kathryn Alpert, David B. Keator, Margaret King, Drew Landis et al.
      Pages 37-51

  3. Ontology and Knowledge Engineering for Data Integration

    1. Front Matter

      Pages 53-53
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    2. Annotating Medical Forms Using UMLS

      • Victor Christen, Anika Groß, Julian Varghese, Martin Dugas, Erhard Rahm
      Pages 55-69

    3. OnSim: A Similarity Measure for Determining Relatedness Between Ontology Terms

      • Ignacio Traverso-Ribón, Maria-Esther Vidal, Guillermo Palma
      Pages 70-86

    4. AnnEvol: An Evolutionary Framework to Description Ontology-Based Annotations

      • Ignacio Traverso-Ribón, Maria-Esther Vidal, Guillermo Palma
      Pages 87-103

    5. Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories

      • Jessica A. Turner, Danielle Pasquerello, Matthew D. Turner, David B. Keator, Kathryn Alpert, Margaret King et al.
      Pages 104-117

    6. Creating Biomedical Ontologies Using mOntage

      • Shima Dastgheib, Daniel Ian McSkimming, Natarajan Kannan, Krys Kochut
      Pages 118-132

    7. Creation of Definitions for Ontologies: A Case Study in the Leukemia Domain

      • Amanda Damasceno de Souza, Maurício Barcellos Almeida, Joaquim Caetano de Aguirre Neto
      Pages 133-136

  4. Biomedical Data Standards and Coding

    1. Front Matter

      Pages 137-137
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    2. Integration of Hematopoietic Cell Transplantation Outcomes Data

      • Robinette Renner, John Carlis, Martin Maiers, J. Douglas Rizzo, Colleen O’Neill, Mary Horowitz et al.
      Pages 139-146

    3. ICD Code Retrieval: Novel Approach for Assisted Disease Classification

      • Stefano Giovanni Rizzo, Danilo Montesi, Andrea Fabbri, Giulio Marchesini
      Pages 147-161

  5. Medical Research Applications

    1. Front Matter

      Pages 163-163
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    2. Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury

      • Andrei Irimia, Sheng-Yang M. Goh, Paul M. Vespa, John D. Van Horn
      Pages 165-179

    3. SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use

      • Paolo Missier, Eldarina Wijaya, Ryan Kirby, Michael Keogh
      Pages 180-194

    4. Quality Control Considerations for the Effective Integration of Neuroimaging Data

      • Sumiko Abe, Andrei Irimia, John Darrell Van Horn
      Pages 195-201
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Other volumes

  1. Data Integration in the Life Sciences

Editors and Affiliations

  • USC Stevens Neuroimaging and Informatics Institute, Los Angeles, USA

    Naveen Ashish

  • USC Information Sciences Institute, Marina del Rey, USA

    Jose-Luis Ambite

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