Article
Sampling genotypes in large pedigrees with loops.
Genetics, selection, evolution : GSE - 1 Jan 2000
Fernández S A, Fernando R L, Guldbrandtsen B, Totir L R, Carriquiry A L
Abstract excerpt
Markov chain Monte Carlo (MCMC) methods have been proposed to overcome computational problems in linkage and segregation analyses. This approach involves sampling genotypes at the marker and trait loci. Scalar-Gibbs is easy to implement, and it is widely used in genetics. However, the Markov chain that corresponds to scalar-Gibbs may not be irreducible when the marker locus has more than two alleles, and even...
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