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Items: 19

2.

Prediction of genetic contributions to complex traits using whole genome sequencing data.

Yao C, Leng N, Weigel KA, Lee KE, Engelman CD, Meyers KJ.

BMC Proc. 2014 Jun 17;8(Suppl 1):S68. doi: 10.1186/1753-6561-8-S1-S68. eCollection 2014.

3.

Meta-analysis of candidate gene effects using bayesian parametric and non-parametric approaches.

Wu XL, Gianola D, Rosa GJ, Weigel KA.

J Genomics. 2014 Jan 2;2:1-19. doi: 10.7150/jgen.5054. eCollection 2014.

4.

Enhancing genome-enabled prediction by bagging genomic BLUP.

Gianola D, Weigel KA, Krämer N, Stella A, Schön CC.

PLoS One. 2014 Apr 10;9(4):e91693. doi: 10.1371/journal.pone.0091693. eCollection 2014.

5.

Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data.

Morota G, Koyama M, Rosa GJ, Weigel KA, Gianola D.

Genet Sel Evol. 2013 Jun 13;45:17. doi: 10.1186/1297-9686-45-17.

6.

Inferring quantitative trait pathways associated with bull fertility from a genome-wide association study.

Peñagaricano F, Weigel KA, Rosa GJ, Khatib H.

Front Genet. 2013 Jan 11;3:307. doi: 10.3389/fgene.2012.00307. eCollection 2012.

7.

Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics.

Wu XL, Sun C, Beissinger TM, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D.

Genet Sel Evol. 2012 Sep 25;44:29. doi: 10.1186/1297-9686-44-29.

8.

Prediction of breeding values for dairy cattle using artificial neural networks and neuro-fuzzy systems.

Shahinfar S, Mehrabani-Yeganeh H, Lucas C, Kalhor A, Kazemian M, Weigel KA.

Comput Math Methods Med. 2012;2012:127130. Epub 2012 Sep 9.

9.

Accuracy of Genome-Enabled Prediction in a Dairy Cattle Population using Different Cross-Validation Layouts.

Pérez-Cabal MA, Vazquez AI, Gianola D, Rosa GJ, Weigel KA.

Front Genet. 2012 Feb 28;3:27. doi: 10.3389/fgene.2012.00027. eCollection 2012.

10.

A primer on high-throughput computing for genomic selection.

Wu XL, Beissinger TM, Bauck S, Woodward B, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D.

Front Genet. 2011 Feb 24;2:4. doi: 10.3389/fgene.2011.00004. eCollection 2011.

11.

Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat.

Gianola D, Okut H, Weigel KA, Rosa GJ.

BMC Genet. 2011 Oct 7;12:87. doi: 10.1186/1471-2156-12-87.

12.

Genomic evaluations with many more genotypes.

VanRaden PM, O'Connell JR, Wiggans GR, Weigel KA.

Genet Sel Evol. 2011 Mar 2;43:10. doi: 10.1186/1297-9686-43-10.

13.

Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins.

Vazquez AI, Rosa GJ, Weigel KA, de los Campos G, Gianola D, Allison DB.

J Dairy Sci. 2010 Dec;93(12):5942-9. doi: 10.3168/jds.2010-3335. Erratum in: J Dairy Sci. 2011 Jan;94(1):537.

14.

Modeling relationships between calving traits: a comparison between standard and recursive mixed models.

de Maturana EL, de los Campos G, Wu XL, Gianola D, Weigel KA, Rosa GJ.

Genet Sel Evol. 2010 Jan 25;42:1. doi: 10.1186/1297-9686-42-1.

15.

Comparison of classification methods for detecting associations between SNPs and chick mortality.

Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S.

Genet Sel Evol. 2009 Jan 23;41:18. doi: 10.1186/1297-9686-41-18.

16.

Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens.

González-Recio O, Gianola D, Rosa GJ, Weigel KA, Kranis A.

Genet Sel Evol. 2009 Jan 5;41:3. doi: 10.1186/1297-9686-41-3.

17.

Exploring biological relationships between calving traits in primiparous cattle with a Bayesian recursive model.

de Maturana EL, Wu XL, Gianola D, Weigel KA, Rosa GJ.

Genetics. 2009 Jan;181(1):277-87. doi: 10.1534/genetics.108.094888. Epub 2008 Nov 3.

18.

Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers.

González-Recio O, Gianola D, Long N, Weigel KA, Rosa GJ, Avendaño S.

Genetics. 2008 Apr;178(4):2305-13. doi: 10.1534/genetics.107.084293.

19.

Recombinant human parvovirus B19 vectors: erythroid cell-specific delivery and expression of transduced genes.

Ponnazhagan S, Weigel KA, Raikwar SP, Mukherjee P, Yoder MC, Srivastava A.

J Virol. 1998 Jun;72(6):5224-30.

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