| TÃtulo : |
Data Integration in the Life Sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Auer, Sören, ; Vidal, Maria-Esther, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XI, 218 p. 81 ilustraciones, 62 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-06016-9 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Gestión de base de datos Software de la aplicacion Inteligencia artificial TeorÃa de las máquinas Bioinformática Aplicaciones informáticas y de sistemas de información Lenguajes formales y teorÃa de los autómatas BiologÃa Computacional y de Sistemas |
| Clasificación: |
005.74 Ciencia de los computadores (Archivos de datos y bases de datos) |
| Resumen: |
Este libro constituye artÃculos seleccionados revisados ​​de la 13.ª Conferencia Internacional sobre Integración de Datos en Ciencias de la Vida, DILS 2018, celebrada en Hannover, Alemania, en noviembre de 2018. Los 5 artÃculos completos, 8 breves, 3 pósters y 4 artÃculos de demostración presentados en este volumen fueron cuidadosamente revisado y seleccionado entre 22 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: integración y gestión de grandes datos biomédicos; exploración de datos en las ciencias biológicas; análisis de datos biomédicos; y grandes aplicaciones biomédicas. |
| Nota de contenido: |
Big Biomedical Data Integration and Management -- Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities -- Combining semantic and lexical measures to evaluate medical terms similarity -- Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database -- A Knowledge-driven Pipeline from Transforming Big Data into Actionable Knowledge -- Leaving no stone unturned: Using machine learning based approaches for information extraction from full texts of a research data warehouse -- Data Exploration in the Life Sciences -- Towards research infrastructures that curate scientific information: A use case in life sciences -- Interactive Visualization for large-scale multi-factorial Research Designs -- FedSDM: Semantic Data Manager for Federations of RDF Datasets -- Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale -- DISBi: A flexible framework for integrating systems biology data -- Biomedical Data Analytics -- Using Machine Learning to Distinguish Infected from Non-Infected Subjects at an Early Stage Based on Viral Inoculation -- Automated Coding of Medical Diagnostics from Free-Text: the Role of Parameters Optimization and Imbalanced Classes -- A learning-based approach to combine medical annotation results -- Knowledge Graph Completion to Predict Polypharmacy Side Effects -- Big Biomedical Applications -- Lung Cancer Concept Annotation from Spanish Clinical Narratives -- Linked Data based Multi-Omics Integration and Visualization for Cancer Decision Networks -- The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 years of experience -- User-Driven Development of a Novel Molecular Tumor Board Support Tool -- Using Semantic Programming for developing a Web Content Management System for semantic Phenotype Data -- Converting Alzheimer's disease map into a heavyweight ontology: a formal network to integrate data. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018. The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Data Integration in the Life Sciences : 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings [documento electrónico] / Auer, Sören, ; Vidal, Maria-Esther, . - 1 ed. . - [s.l.] : Springer, 2019 . - XI, 218 p. 81 ilustraciones, 62 ilustraciones en color. ISBN : 978-3-030-06016-9 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Gestión de base de datos Software de la aplicacion Inteligencia artificial TeorÃa de las máquinas Bioinformática Aplicaciones informáticas y de sistemas de información Lenguajes formales y teorÃa de los autómatas BiologÃa Computacional y de Sistemas |
| Clasificación: |
005.74 Ciencia de los computadores (Archivos de datos y bases de datos) |
| Resumen: |
Este libro constituye artÃculos seleccionados revisados ​​de la 13.ª Conferencia Internacional sobre Integración de Datos en Ciencias de la Vida, DILS 2018, celebrada en Hannover, Alemania, en noviembre de 2018. Los 5 artÃculos completos, 8 breves, 3 pósters y 4 artÃculos de demostración presentados en este volumen fueron cuidadosamente revisado y seleccionado entre 22 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: integración y gestión de grandes datos biomédicos; exploración de datos en las ciencias biológicas; análisis de datos biomédicos; y grandes aplicaciones biomédicas. |
| Nota de contenido: |
Big Biomedical Data Integration and Management -- Do Scaling Algorithms Preserve Word2Vec Semantics? A Case Study for Medical Entities -- Combining semantic and lexical measures to evaluate medical terms similarity -- Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database -- A Knowledge-driven Pipeline from Transforming Big Data into Actionable Knowledge -- Leaving no stone unturned: Using machine learning based approaches for information extraction from full texts of a research data warehouse -- Data Exploration in the Life Sciences -- Towards research infrastructures that curate scientific information: A use case in life sciences -- Interactive Visualization for large-scale multi-factorial Research Designs -- FedSDM: Semantic Data Manager for Federations of RDF Datasets -- Data Integration for Supporting Biomedical Knowledge Graph Creation at Large-Scale -- DISBi: A flexible framework for integrating systems biology data -- Biomedical Data Analytics -- Using Machine Learning to Distinguish Infected from Non-Infected Subjects at an Early Stage Based on Viral Inoculation -- Automated Coding of Medical Diagnostics from Free-Text: the Role of Parameters Optimization and Imbalanced Classes -- A learning-based approach to combine medical annotation results -- Knowledge Graph Completion to Predict Polypharmacy Side Effects -- Big Biomedical Applications -- Lung Cancer Concept Annotation from Spanish Clinical Narratives -- Linked Data based Multi-Omics Integration and Visualization for Cancer Decision Networks -- The Hannover Medical School Enterprise Clinical Research Data Warehouse: 5 years of experience -- User-Driven Development of a Novel Molecular Tumor Board Support Tool -- Using Semantic Programming for developing a Web Content Management System for semantic Phenotype Data -- Converting Alzheimer's disease map into a heavyweight ontology: a formal network to integrate data. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018. The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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