Rosa GJ - Search Results

1

Applying family analyses to electronic health records to facilitate genetic research.

Huang X, Elston RC, Rosa GJ, Mayer J, Ye Z, Kitchner T, Brilliant MH, Page D, Hebbring SJ. Huang X, et al. Among authors: rosa gj. Bioinformatics. 2018 Feb 15;34(4):635-642. doi: 10.1093/bioinformatics/btx569. Bioinformatics. 2018. PMID: 28968884 Free PMC article.

2

An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle.

Sun C, Wu XL, Weigel KA, Rosa GJ, Bauck S, Woodward BW, Schnabel RD, Taylor JF, Gianola D. Sun C, et al. Among authors: rosa gj. Genet Res (Camb). 2012 Jun;94(3):133-50. doi: 10.1017/S001667231200033X. Epub 2012 Jul 18. Genet Res (Camb). 2012. PMID: 22809677

3

Machine learning classification procedure for selecting SNPs in genomic selection: application to early mortality in broilers.

Long N, Gianola D, Rosa GJ, Weigel KA, Avendaño S. Long N, et al. Among authors: rosa gj. J Anim Breed Genet. 2007 Dec;124(6):377-89. doi: 10.1111/j.1439-0388.2007.00694.x. J Anim Breed Genet. 2007. PMID: 18076475

4

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. González-Recio O, et al. Among authors: rosa gj. Genet Sel Evol. 2009 Jan 5;41(1):3. doi: 10.1186/1297-9686-41-3. Genet Sel Evol. 2009. PMID: 19284693 Free PMC article.

5

Genome-wide association mapping and pathway analysis of leukosis incidence in a US Holstein cattle population.

Abdalla EA, Peñagaricano F, Byrem TM, Weigel KA, Rosa GJ. Abdalla EA, et al. Among authors: rosa gj. Anim Genet. 2016 Aug;47(4):395-407. doi: 10.1111/age.12438. Epub 2016 Apr 19. Anim Genet. 2016. PMID: 27090879

6

A predictive assessment of genetic correlations between traits in chickens using markers.

Momen M, Mehrgardi AA, Sheikhy A, Esmailizadeh A, Fozi MA, Kranis A, Valente BD, Rosa GJ, Gianola D. Momen M, et al. Among authors: rosa gj. Genet Sel Evol. 2017 Feb 1;49(1):16. doi: 10.1186/s12711-017-0290-9. Genet Sel Evol. 2017. PMID: 28148241 Free PMC article.

7

Genome-wide association study of milk production traits in a crossbred dairy sheep population using three statistical models.

Li H, Wu XL, Tait RG Jr, Bauck S, Thomas DL, Murphy TW, Rosa GJM. Li H, et al. Anim Genet. 2020 Aug;51(4):624-628. doi: 10.1111/age.12956. Epub 2020 Jun 8. Anim Genet. 2020. PMID: 32510640

8

Predictive assessment of single-step BLUP with linear and non-linear similarity RKHS kernels: A case study in chickens.

Momen M, Kranis A, Rosa GJM, Muir P, Gianola D. Momen M, et al. J Anim Breed Genet. 2022 May;139(3):247-258. doi: 10.1111/jbg.12665. Epub 2021 Dec 20. J Anim Breed Genet. 2022. PMID: 34931377

9

Review of microarray experimental design strategies for genetical genomics studies.

Rosa GJ, de Leon N, Rosa AJ. Rosa GJ, et al. Among authors: rosa aj. Physiol Genomics. 2006 Dec 13;28(1):15-23. doi: 10.1152/physiolgenomics.00106.2006. Epub 2006 Sep 19. Physiol Genomics. 2006. PMID: 16985008 Review.

10

Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation.

de Los Campos G, Gianola D, Rosa GJ. de Los Campos G, et al. Among authors: rosa gj. J Anim Sci. 2009 Jun;87(6):1883-7. doi: 10.2527/jas.2008-1259. Epub 2009 Feb 11. J Anim Sci. 2009. PMID: 19213705

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