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A flexible denormalization technique for data analysis above a deeply-structured relational database: biomedical applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00082481" target="_blank" >RIV/00216224:14330/15:00082481 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-16483-0_12" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-16483-0_12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-16483-0_12" target="_blank" >10.1007/978-3-319-16483-0_12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A flexible denormalization technique for data analysis above a deeply-structured relational database: biomedical applications

  • Original language description

    Relational databases are sometimes used to store biomedical and patient data in large clinical or international projects. This data is inherently deeply structured, records for individual patients contain varying number of variables. When ad-hoc access to data subsets is needed, standard database access tools do not allow for rapid command prototyping and variable selection to create flat data tables. In the context of Thalamoss, an international research project on beta-thalassemia, we developed and experimented with an interactive variable selection method addressing these needs. Our newly-developed Python library sqlAutoDenorm.py automatically generates SQL commands to denormalize a subset of database tables and their relevant records, effectively generating a flat table from arbitrarily structured data. The denormalization process can be controlled by a small number of user-tunable parameters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/7E13011" target="_blank" >7E13011: THALAssaemia MOdular Stratification System for personalized therapy of beta-thalassemia</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science 9043, Bioinformatics and Biomedical Engineering, Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17 2015, Proceedings, Part I

  • ISBN

    9783319164823

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    120-133

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Granada, Spain

  • Event date

    Apr 15, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article