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Data-mining protein structure by clustering, segmentation and evolutionary algorithms, In: Studies in Computational Intelligence 4

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507997" target="_blank" >RIV/70883521:28140/09:63507997 - 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, In: Studies in Computational Intelligence 4

  • Original language description

    Bio-inspired methods which include evolutionary algorithms are currently widely used to solve very difficult problems. Such problems include bioinformatics problems such as the synthesis of protein structures, identifying parts of DNA, etc. This chapterpresents the basic description of evolutionary algorithms and outlining their potential application in bioinformatics.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JD - Use of computers, robotics and its application

  • 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

    Studies in Computational Intelligence

  • ISBN

    978-3-642-01087-3

  • Number of pages of the result

    28

  • Pages from-to

  • Number of pages of the book

    395

  • Publisher name

    Springer-Verlag Berlin

  • Place of publication

    Heidelberg

  • UT code for WoS chapter