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Gaussian Logic and Its Applications in Bioinformatics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00181855" target="_blank" >RIV/68407700:21230/11:00181855 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gaussian Logic and Its Applications in Bioinformatics

  • Original language description

    We describe a novel statistical relational learning framework capable to work efficiently with combinations of relational and numerical data which is especially valuable in bioinformatics applications. We show how this model can be applied to modelling of gene expression data and to problems from proteomics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ACM BCB 2011: ACM Conference on Bioinformatics, Computational Biology and Biomedicine

  • ISBN

    978-1-4503-0796-3

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    496-498

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Chicago

  • Event date

    Aug 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article