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|Title:||Bayesian MCMC mapping of quantitative trait loci in a half-sib design: a graphical model perspective|
|Authors:||Sheehan, Nuala A.|
Lund, M. S.
Sorensen, D. A.
|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.|
|Appears in Collections:||Published Articles, Dept. of Health Sciences|
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