Zobrazeno 1 - 10
of 400
pro vyhledávání: '"Fernando Rohan"'
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
Externí odkaz:
https://doaj.org/article/a5b930102b004e04a75c313a09f4d3e2
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
Externí odkaz:
https://doaj.org/article/779a2cebb5884107b63841b298acd6d7
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
Externí odkaz:
https://doaj.org/article/3a9846cf092f44c5b82376f19c20f833
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
Autor:
Schelling Matthias, Stricker Christian, Guldbrandtsen Bernt, Fernando Rohan L, Fernández Soledad A, Carriquiry Alicia L
Publikováno v:
Genetics Selection Evolution, Vol 34, Iss 5, Pp 537-555 (2002)
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. Among MCMC methods, scalar-Gibbs is th
Externí odkaz:
https://doaj.org/article/5060038dca3d47dc928b3283bc25e961
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
Autor:
Lane, Morgan, Pompeii, Lisa, Rios, Janelle, Benavides, Elisa, Kasbaum, Marie, Patlovich, Scott, Ostrosky-Zeichner, Luis, Hornbeck, Adam, McClain, Caitlin, Fernando, Rohan, Sietsema, Margaret, Kraft, Colleen
Publikováno v:
In AJIC: American Journal of Infection Control July 2024 52(7):745-750
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
Publikováno v:
Genetics Selection Evolution, Vol 30, Iss 5, Pp 453-468 (1998)
Externí odkaz:
https://doaj.org/article/5b4e72cdafd64ce2a03d21b7a421e754
Publikováno v:
BMC Proceedings, Vol 5, Iss Suppl 4, p S22 (2011)
Abstract Infectious bovine keratoconjunctivitis (IBK), also known as pinkeye, is characterized by damage to the cornea and is an economically important, lowly heritable, categorical disease trait in beef cattle. Scores of eye damage were collected at
Externí odkaz:
https://doaj.org/article/510912b724c243f2838ae290245aa955