| Year |
Citation |
Score |
| 2014 |
Ornella L, Pérez P, Tapia E, González-Camacho JM, Burgueño J, Zhang X, Singh S, Vicente FS, Bonnett D, Dreisigacker S, Singh R, Long N, Crossa J. Genomic-enabled prediction with classification algorithms. Heredity. 112: 616-26. PMID 24424163 DOI: 10.1038/Hdy.2013.144 |
0.37 |
|
| 2012 |
Boligon AA, Long N, Albuquerque LG, Weigel KA, Gianola D, Rosa GJ. Comparison of selective genotyping strategies for prediction of breeding values in a population undergoing selection. Journal of Animal Science. 90: 4716-22. PMID 23372045 DOI: 10.2527/Jas.2012-4857 |
0.57 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins. Journal of Animal Breeding and Genetics = Zeitschrift Fã¼R Tierzã¼Chtung Und Zã¼Chtungsbiologie. 128: 247-57. PMID 21749471 DOI: 10.1111/J.1439-0388.2011.00917.X |
0.617 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Application of support vector regression to genome-assisted prediction of quantitative traits. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 123: 1065-74. PMID 21739137 DOI: 10.1007/S00122-011-1648-Y |
0.578 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Marker-assisted prediction of non-additive genetic values. Genetica. 139: 843-54. PMID 21674154 DOI: 10.1007/S10709-011-9588-7 |
0.549 |
|
| 2011 |
Long N, Gianola D, Rosa GJ, Weigel KA. Long-term impacts of genome-enabled selection. Journal of Applied Genetics. 52: 467-80. PMID 21584728 DOI: 10.1007/S13353-011-0053-1 |
0.576 |
|
| 2011 |
Ober U, Erbe M, Long N, Porcu E, Schlather M, Simianer H. Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data. Genetics. 188: 695-708. PMID 21515573 DOI: 10.1534/Genetics.111.128694 |
0.462 |
|
| 2010 |
Long N, Gianola D, Rosa GJ, Weigel KA, Kranis A, González-Recio O. Radial basis function regression methods for predicting quantitative traits using SNP markers. Genetics Research. 92: 209-25. PMID 20667165 DOI: 10.1017/S0016672310000157 |
0.616 |
|
| 2009 |
Weigel KA, de los Campos G, González-Recio O, Naya H, Wu XL, Long N, Rosa GJ, Gianola D. Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers. Journal of Dairy Science. 92: 5248-57. PMID 19762843 DOI: 10.3168/Jds.2009-2092 |
0.595 |
|
| 2009 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Comparison of classification methods for detecting associations between SNPs and chick mortality. Genetics, Selection, Evolution : Gse. 41: 18. PMID 19284707 DOI: 10.1186/1297-9686-41-18 |
0.598 |
|
| 2008 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendano S. Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers. Developments in Biologicals. 132: 373-6. PMID 18817329 DOI: 10.1159/000317279 |
0.613 |
|
| 2008 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Marker-assisted assessment of genotype by environment interaction: a case study of single nucleotide polymorphism-mortality association in broilers in two hygiene environments. Journal of Animal Science. 86: 3358-66. PMID 18765852 DOI: 10.2527/Jas.2008-1021 |
0.599 |
|
| 2008 |
González-Recio O, Gianola D, Long N, Weigel KA, Rosa GJ, Avendaño S. Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers. Genetics. 178: 2305-13. PMID 18430951 DOI: 10.1534/Genetics.107.084293 |
0.606 |
|
| 2007 |
Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers. Journal of Animal Breeding and Genetics = Zeitschrift Fã¼R Tierzã¼Chtung Und Zã¼Chtungsbiologie. 124: 377-89. PMID 18076475 DOI: 10.1111/J.1439-0388.2007.00694.X |
0.619 |
|
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