Data integration in the life sciences [electronic resource] : 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings / edited by Naveen Ashish, Jose-Luis Ambite.
DILS (Conference) (11th : 2015 : Los Angeles, Calif.); Ashish, Naveen, editor.; Ambite, Jose-Luis, editor.
2015
QA76.9.D338 D55 2015eb
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Title Data integration in the life sciences [electronic resource] : 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings / edited by Naveen Ashish, Jose-Luis Ambite.
Meeting Name DILS (Conference) (11th : 2015 : Los Angeles, Calif.)
ISBN 9783319218434 electronic book
3319218433 electronic book
9783319218427
DOI https://doi.org/10.1007/978-3-319-21843-4
Published Cham : Springer, 2015.
Language English
Description 1 online resource (xi, 281 pages) : illustrations.
Item Number 10.1007/978-3-319-21843-4 doi
Call Number QA76.9.D338 D55 2015eb
Dewey Decimal Classification 005.74
Summary 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.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed July 16, 2015).
Added Author Ashish, Naveen, editor.
Ambite, Jose-Luis, editor.
Series Lecture notes in computer science. Lecture notes in bioinformatics ; 9162.
LNCS sublibrary. SL 8, Bioinformatics.
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Data Integration Technologies
Combining Multiple Knowledge Sources: A Case Study of Drug Induced Liver Injury
Vidal, Elena Zotkina, and Louiqa Raschid GEM: The GAAIN Entity Mapper
Data Integration in the Human Brain Project
SchizConnect: Virtual Data Integration in Neuroimaging
Ontology and Knowledge Engineering for Data Integration Annotating Medical Forms Using UMLS
OnSim: A Similarity Measure for Determining Relatedness Between Ontology Terms
AnnEvol: An Evolutionary Framework to Description Ontology-Based Annotations
Terminology Development Towards Harmonizing Multiple Clinical Neuroimaging Research Repositories
Creating Biomedical Ontologies Using mOntage
Creation of Definitions for Ontologies: A Case Study in the Leukemia Domain
Biomedical Data Standards and Coding Integration of Hematopoietic Cell Transplantation Outcomes Data: Data Standards Are Not Enough
ICD Code Retrieval: Novel Approach for Assisted Disease Classification
Medical Research Applications
Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury
SVI: A Simple Single-Nucleotide Human Variant Interpretation Tool for Clinical Use
Quality Control Considerations for the Effective Integration of Neuroimaging Data
Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders
Reverse Engineering Measures of Clinical Care Quality: Sequential Pattern Mining
Inference and Verification of Probabilistic Graphical Models from High-Dimensional Data
SPIRIT-ML: A Machine Learning Platform for Deriving Knowledge from Biomedical Datasets
Demonstration: Mining Sentence and Annotation Evidence for a Cross Genome Study of the Plant Hormone Ethylene
Graduate Student Consortium
GAAIN Virtual Appliances: Virtual Machine Technology for Scientific Data Analysis
The GAAIN Entity Mapper: Towards Practical Medical Informatics Application
Efficient Management of Cached Data in the Global Alzheimer's Association Interactive Network
Domain Specific Document Retrieval Framework for Real-Time Social Health Data.

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