Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/2350
Title: Bayesian MCMC mapping of quantitative trait loci in a half-sib design: a graphical model perspective
Authors: Sheehan, Nuala A.
Guldbrandtsen, B.
Lund, M. S.
Sorensen, D. A.
First Published: 2002
Citation: International Statistical Review, 2002, 70 (2), pp.241-267
Abstract: Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.
DOI Link: 10.1111/j.1751-5823.2002.tb00362.x
ISSN: 0306-7734
Links: http://onlinelibrary.wiley.com/doi/10.1111/j.1751-5823.2002.tb00362.x/abstract
http://hdl.handle.net/2381/2350
Type: Article
Appears in Collections:Published Articles, Dept. of Health Sciences

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