Výsledky vyhledávání - "Totir Liviu R"

Akademický článek

Improved techniques for sampling complex pedigrees with the Gibbs sampler

Autor: Fernando Rohan L, Totir Liviu R, Abraham K Joseph

Publikováno v: Genetics Selection Evolution, Vol 39, Iss 1, Pp 27-38 (2007)

Abstract Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational problems in linkage and segregation analyses. Many variants of this approach exist and are practiced; among the most popular is the Gibbs sampler. The Gi

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Akademický článek

A study on the minimum number of loci required for genetic evaluation using a finite locus model

Autor: Fernando Rohan L, Totir Liviu R, Dekkers Jack CM, Fernández Soledad A

Publikováno v: Genetics Selection Evolution, Vol 36, Iss 4, Pp 395-414 (2004)

Abstract For a finite locus model, Markov chain Monte Carlo (MCMC) methods can be used to estimate the conditional mean of genotypic values given phenotypes, which is also known as the best predictor (BP). When computationally feasible, this type of

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Akademický článek

The effect of using approximate gametic variance covariance matrices on marker assisted selection by BLUP

Autor: Dekkers Jack CM, Fernando Rohan L, Totir Liviu R, Fernández Soledad A, Guldbrandtsen Bernt

Publikováno v: Genetics Selection Evolution, Vol 36, Iss 1, Pp 29-48 (2004)

Abstract Under additive inheritance, the Henderson mixed model equations (HMME) provide an efficient approach to obtaining genetic evaluations by marker assisted best linear unbiased prediction (MABLUP) given pedigree relationships, trait and marker

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Akademický článek

A comparison of alternative methods to compute conditional genotype probabilities for genetic evaluation with finite locus models

Autor: Dekkers Jack CM, Fernando Rohan L, Totir Liviu R, Fernández Soledad A, Guldbrandtsen Bernt

Publikováno v: Genetics Selection Evolution, Vol 35, Iss 7, Pp 585-604 (2003)

Abstract An increased availability of genotypes at marker loci has prompted the development of models that include the effect of individual genes. Selection based on these models is known as marker-assisted selection (MAS). MAS is known to be efficie

Externí odkaz: https://doaj.org/article/531d385d75bb466585489fe82ae89fc2

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Akademický článek

Sampling genotypes in large pedigrees with loops

Autor: Guldbrandtsen Bernt, Fernando Rohan L, Fernández Soledad A, Totir Liviu R, Carriquiry Alicia L

Publikováno v: Genetics Selection Evolution, Vol 33, Iss 4, Pp 337-367 (2001)

Abstract 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

Externí odkaz: https://doaj.org/article/758fc130829d4c2e97bfce8c5086dd53

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Akademický článek

The effect of linkage on the additive by additive covariance between relatives1

Autor: Fernando Rohan L, Totir Liviu R

Publikováno v: Genetics Selection Evolution, Vol 30, Iss 5, Pp 409-421 (1998)

Externí odkaz: https://doaj.org/article/ba4bbf95f0594fb290b29d166b87729f

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Akademický článek

An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loops

Autor: Fernando Rohan L, Totir Liviu R, Abraham Joseph

Publikováno v: Genetics Selection Evolution, Vol 41, Iss 1, p 52 (2009)

Abstract Background Marginal posterior genotype probabilities need to be computed for genetic analyses such as geneticcounseling in humans and selective breeding in animal and plant species. Methods In this paper, we describe a peeling based, determi

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