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
Link To Document