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Results: 1 to 20 of 220

1.
2.

A robust smart window: reversibly switching from high transparency to angle-independent structural color display.

Ge D, Lee E, Yang L, Cho Y, Li M, Gianola DS, Yang S.

Adv Mater. 2015 Apr;27(15):2489-95. doi: 10.1002/adma.201500281. Epub 2015 Mar 2.

PMID:
25732127
3.

Assessment of bagging GBLUP for whole-genome prediction of broiler chicken traits.

Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

J Anim Breed Genet. 2015 Mar 1. doi: 10.1111/jbg.12131. [Epub ahead of print]

PMID:
25727456
4.

Bayesian analysis of additive epistasis arising from new mutations in mice.

Casellas J, Gianola D, Medrano JF.

Genet Res (Camb). 2014 Aug 13;96:e008. doi: 10.1017/S001667231400010X.

PMID:
25578900
5.

Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.

Felipe V, Okut H, Gianola D, Silva MA, Rosa G.

BMC Genet. 2014 Dec 29;15(1):1271. [Epub ahead of print]

6.

Robust scaling of strength and elastic constants and universal cooperativity in disordered colloidal micropillars.

Strickland DJ, Huang YR, Lee D, Gianola DS.

Proc Natl Acad Sci U S A. 2014 Dec 23;111(51):18167-72. doi: 10.1073/pnas.1413900111. Epub 2014 Dec 8.

PMID:
25489098
7.

One hundred years of statistical developments in animal breeding.

Gianola D, Rosa GJ.

Annu Rev Anim Biosci. 2015;3:19-56. doi: 10.1146/annurev-animal-022114-110733. Epub 2014 Nov 3.

PMID:
25387231
8.

Kernel-based whole-genome prediction of complex traits: a review.

Morota G, Gianola D.

Front Genet. 2014 Oct 16;5:363. doi: 10.3389/fgene.2014.00363. eCollection 2014. Review.

9.

Bayesian genomic-enabled prediction as an inverse problem.

Cuevas J, Pérez-Elizalde S, Soberanis V, Pérez-Rodríguez P, Gianola D, Crossa J.

G3 (Bethesda). 2014 Aug 25;4(10):1991-2001. doi: 10.1534/g3.114.013094.

10.

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.

11.

Tailoring and understanding the mechanical properties of nanoparticle-shelled bubbles.

Brugarolas T, Gianola DS, Zhang L, Campbell GM, Bassani JL, Feng G, Lee D.

ACS Appl Mater Interfaces. 2014 Jul 23;6(14):11558-72. doi: 10.1021/am502290h. Epub 2014 Jul 3.

PMID:
24956417
12.

Strain- and defect-mediated thermal conductivity in silicon nanowires.

Murphy KF, Piccione B, Zanjani MB, Lukes JR, Gianola DS.

Nano Lett. 2014 Jul 9;14(7):3785-92. doi: 10.1021/nl500840d. Epub 2014 Jun 9.

PMID:
24885097
13.

Whole genome prediction of bladder cancer risk with the Bayesian LASSO.

de Maturana EL, Chanok SJ, Picornell AC, Rothman N, Herranz J, Calle ML, García-Closas M, Marenne G, Brand A, Tardón A, Carrato A, Silverman DT, Kogevinas M, Gianola D, Real FX, Malats N.

Genet Epidemiol. 2014 Jul;38(5):467-76. doi: 10.1002/gepi.21809. Epub 2014 May 5.

PMID:
24796258
14.

Synthesis and mechanical response of disordered colloidal micropillars.

Strickland DJ, Zhang L, Huang YR, Magagnosc DJ, Lee D, Gianola DS.

Phys Chem Chem Phys. 2014 Jun 14;16(22):10274-85. doi: 10.1039/c3cp55422h.

PMID:
24765638
15.

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.

16.

Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits.

Morota G, Boddhireddy P, Vukasinovic N, Gianola D, Denise S.

Front Genet. 2014 Mar 24;5:56. doi: 10.3389/fgene.2014.00056. eCollection 2014.

17.

Temperature controlled tensile testing of individual nanowires.

Chen LY, Terrab S, Murphy KF, Sullivan JP, Cheng X, Gianola DS.

Rev Sci Instrum. 2014 Jan;85(1):013901. doi: 10.1063/1.4858815.

PMID:
24517776
18.

Genome-enabled prediction of quantitative traits in chickens using genomic annotation.

Morota G, Abdollahi-Arpanahi R, Kranis A, Gianola D.

BMC Genomics. 2014 Feb 7;15:109. doi: 10.1186/1471-2164-15-109.

19.

Dissection of additive genetic variability for quantitative traits in chickens using SNP markers.

Abdollahi-Arpanahi R, Pakdel A, Nejati-Javaremi A, Moradi Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

J Anim Breed Genet. 2014 Jun;131(3):183-93. doi: 10.1111/jbg.12079. Epub 2014 Jan 25.

PMID:
24460953
20.

Effect of allele frequencies, effect sizes and number of markers on prediction of quantitative traits in chickens.

Abdollahi-Arpanahi R, Nejati-Javaremi A, Pakdel A, Moradi-Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D.

J Anim Breed Genet. 2014 Apr;131(2):123-33. doi: 10.1111/jbg.12075. Epub 2014 Jan 8.

PMID:
24397350
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