Rohan L. Fernando
Affiliations: | Iowa State University, Ames, IA, United States |
Area:
Animal Culture and Nutrition Agriculture, Biostatistics BiologyGoogle:
"Rohan Fernando"Children
Sign in to add traineeSoledad A. Fernandez | grad student | 2001 | Iowa State |
Liviu R. Totir | grad student | 2002 | Iowa State |
Laura Grapes | grad student | 2004 | Iowa State |
Ali S. Toosi | grad student | 2012 | Iowa State |
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Publications
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Gianola D, Fernando RL, Schön CC. (2022) Inference about quantitative traits under selection: a Bayesian revisitation for the post-genomic era. Genetics, Selection, Evolution : Gse. 54: 78 |
Garrick DJ, Fernando RL. (2022) A method to obtain exact single-step GBLUP for non-genotyped descendants when the genomic relationship matrix of ancestors is not available. Genetics, Selection, Evolution : Gse. 54: 72 |
Zhao T, Fernando R, Cheng H. (2021) Interpretable Artificial Neural Networks incorporating Bayesian Alphabet Models for Genome-wide Prediction and Association Studies. G3 (Bethesda, Md.) |
Sanglard LP, Fernando RL, Gray KA, et al. (2020) Genetic Analysis of Antibody Response to Porcine Reproductive and Respiratory Syndrome Vaccination as an Indicator Trait for Reproductive Performance in Commercial Sows. Frontiers in Genetics. 11: 1011 |
Wolc A, Drobik-Czwarno W, Jankowski T, et al. (2020) Accuracy of genomic prediction of shell quality in a White Leghorn line. Poultry Science. 99: 2833-2840 |
Qu J, Kachman SD, Garrick D, et al. (2020) Exact Distribution of Linkage Disequilibrium in the Presence of Mutation, Selection, or Minor Allele Frequency Filtering. Frontiers in Genetics. 11: 362 |
Zhao T, Fernando R, Garrick D, et al. (2020) Fast parallelized sampling of Bayesian regression models for whole-genome prediction. Genetics, Selection, Evolution : Gse. 52: 16 |
Gianola D, Fernando RL. (2019) A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits. Genetics |
Gianola D, Fernando RL, Schön CC. (2019) Inferring trait-specific similarity among individuals from molecular markers and phenotypes with Bayesian regression. Theoretical Population Biology |
Bertolini F, Chinchilla-Vargas J, Khadse JR, et al. (2019) Marker discovery and associations with beta-carotene content in Indian dairy cattle and buffalo breeds. Journal of Dairy Science |