• DocumentCode
    526157
  • Title

    Graphical model representation of pedigree based mixed model

  • Author

    Gorjanc, Gregor

  • Author_Institution
    Dept. of Animal Sci., Univ. of Ljubljana, Domžale, Slovenia
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    545
  • Lastpage
    550
  • Abstract
    Pedigree based mixed model represents a simplistic yet robust and powerful model frequently used in animal and plant breeding, evolutionary biology, and human genetics. In the Bayesian setting inference of all model parameters can be performed with the use of well known McMC methods. Algorithms are commonly formulated with matrices, which provides a generic view, but hinders interpretation. Here, a generic graphical model representation is developed. This eases the interpretation of the model and used algorithms. In addition, graphical model formulation provides a way to fit pedigree based mixed model in standard graphical model programs, such as BUGS.
  • Keywords
    Markov processes; Monte Carlo methods; belief networks; biology computing; genetic engineering; inference mechanisms; matrix algebra; solid modelling; BUGS programs; Bayesian setting inference; Markov chain Monte Carlo methods; animal breeding; evolutionary biology; graphical model representation; human genetics; matrices; pedigree based mixed model; plant breeding; Additives; Animals; Bayesian methods; Biological system modeling; Genetics; Graphical models; Markov processes; McMC; animal model; graphical model; pedigree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces (ITI), 2010 32nd International Conference on
  • Conference_Location
    Cavtat/Dubrovnik
  • ISSN
    1330-1012
  • Print_ISBN
    978-1-4244-5732-8
  • Type

    conf

  • Filename
    5546483