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Produktbild: Data Integration in the Life Sciences
Band 11371

Data Integration in the Life Sciences 13th International Conference, DILS 2018, Hannover, Germany, November 20-21, 2018, Proceedings

Aus der Reihe Lecture Notes in Bioinformatics

51,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.12.2018

Abbildungen

XI, 81 illus., 62 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Sören Auer + weitere

Verlag

Springer

Seitenzahl

218

Maße (L/B/H)

23,5/15,5/1,3 cm

Gewicht

359 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-06015-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.12.2018

Abbildungen

XI, 81 illus., 62 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

218

Maße (L/B/H)

23,5/15,5/1,3 cm

Gewicht

359 g

Auflage

1st ed. 2019

Sprache

Englisch

ISBN

978-3-030-06015-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Data Integration in the Life Sciences

  • 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.