title: Bayesian inference in multipoint gene mapping.
abstract: The problem of ordering and mapping genes on the basis of recombinant data and radiation hybrid data is formulated as a problem of Bayesian inference for an unknown permutation. The challenging computational problems posed by this approach are shown to be resolvable using Markov chain Monte Carlo methods.
authors.affiliation: Department of Mathematics, Imperial College, London, UK.
authors.forename: D A
authors.initials: DA
authors.lastname: Stephens
authors.forename: A F
authors.initials: AF
authors.lastname: Smith
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002874:Chromosome Mapping; D005260:Female; D008040:Genetic Linkage; D006801:Humans; D008297:Male; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D011995:Recombination, Genetic