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Data-mining protein structure by clustering, segmentation and evolutionary algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00035527" target="_blank" >RIV/00216224:14330/09:00035527 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data-mining protein structure by clustering, segmentation and evolutionary algorithms

  • Original language description

    After a brief introduction to Bioinformatics, the authors discuss how Evolutionary Algorithms can be used to solve problems from Bioinformatics. Later, the authors describe how clustering techniques can group protein fragments and how short fragments canbe combined to obtain a larger segment and therefore be able to infer higher level functions for a protein.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Data Mining: Theoretical Foundations and Applications

  • ISBN

    978-3-642-01087-3

  • Number of pages of the result

    28

  • Pages from-to

  • Number of pages of the book

    396

  • Publisher name

    Springer Verlag

  • Place of publication

    Germany

  • UT code for WoS chapter