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Rohan L Fernando

Showing results (1-10 of 61) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|June 13, 2013
Bayesian methods applied to GWASRohan L Fernando, Dorian Garrick
Genetics|December 28, 2019
A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex TraitsDaniel Gianola, Rohan L Fernando
Genetics, Selection, Evolution : GSE|October 1, 2009
Linear models for joint association and linkage QTL mappingAndrés Legarra, Rohan L Fernando
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2013
Implementing a QTL detection study (GWAS) using genomic prediction methodologyDorian J Garrick, Rohan L Fernando
Genetics|March 17, 2004
On the Metropolis-Hastings acceptance probability to add or drop a quantitative trait locus in Markov chain Monte Carlo-based Bayesian analysesJean-Luc Jannink, Rohan L Fernando
Genetics, Selection, Evolution : GSE|November 1, 2022
A method to obtain exact single-step GBLUP for non-genotyped descendants when the genomic relationship matrix of ancestors is not availableDorian J Garrick, Rohan L Fernando
Genetics|May 2, 2006
Genomic-assisted prediction of genetic value with semiparametric proceduresDaniel Gianola, Rohan L Fernando, Alessandra Stella
Journal of Animal Science and Biotechnology|May 5, 2017
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased predictionHao Cheng, Dorian J Garrick, Rohan L Fernando
Genetics, Selection, Evolution : GSE|October 30, 2016
An efficient exact method to obtain GBLUP and single-step GBLUP when the genomic relationship matrix is singularRohan L Fernando, Hao Cheng, Dorian J Garrick
Genetics, Selection, Evolution : GSE|December 5, 2009
An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loopsLiviu R Totir, Rohan L Fernando, Joseph Abraham
Pageof 7

Showing results (1-10 of 61) with videos related to

Sort By:
Pageof 7
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2013
Bayesian methods applied to GWASRohan L Fernando, Dorian Garrick
Genetics|December 28, 2019
A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex TraitsDaniel Gianola, Rohan L Fernando
Genetics, Selection, Evolution : GSE|October 1, 2009
Linear models for joint association and linkage QTL mappingAndrés Legarra, Rohan L Fernando
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2013
Implementing a QTL detection study (GWAS) using genomic prediction methodologyDorian J Garrick, Rohan L Fernando
Genetics|March 17, 2004
On the Metropolis-Hastings acceptance probability to add or drop a quantitative trait locus in Markov chain Monte Carlo-based Bayesian analysesJean-Luc Jannink, Rohan L Fernando
Genetics, Selection, Evolution : GSE|November 1, 2022
A method to obtain exact single-step GBLUP for non-genotyped descendants when the genomic relationship matrix of ancestors is not availableDorian J Garrick, Rohan L Fernando
Genetics|May 2, 2006
Genomic-assisted prediction of genetic value with semiparametric proceduresDaniel Gianola, Rohan L Fernando, Alessandra Stella
Journal of Animal Science and Biotechnology|May 5, 2017
Efficient strategies for leave-one-out cross validation for genomic best linear unbiased predictionHao Cheng, Dorian J Garrick, Rohan L Fernando
Genetics, Selection, Evolution : GSE|October 30, 2016
An efficient exact method to obtain GBLUP and single-step GBLUP when the genomic relationship matrix is singularRohan L Fernando, Hao Cheng, Dorian J Garrick
Genetics, Selection, Evolution : GSE|December 5, 2009
An efficient algorithm to compute marginal posterior genotype probabilities for every member of a pedigree with loopsLiviu R Totir, Rohan L Fernando, Joseph Abraham
Pageof 7