These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 37674816)

  • 1. A genomic estimated breeding value-assisted reduction method of single nucleotide polymorphism sets: a novel approach for determining the cutoff thresholds in genome-wide association studies and best linear unbiased prediction.
    Lee YS; Oh JD; Lee JY; Shin D
    Anim Cells Syst (Seoul); 2023; 27(1):180-186. PubMed ID: 37674816
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genome-wide Association Study (GWAS) and Its Application for Improving the Genomic Estimated Breeding Values (GEBV) of the Berkshire Pork Quality Traits.
    Lee YS; Jeong H; Taye M; Kim HJ; Ka S; Ryu YC; Cho S
    Asian-Australas J Anim Sci; 2015 Nov; 28(11):1551-7. PubMed ID: 26580278
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Genomic prediction of breeding values using previously estimated SNP variances.
    Calus MP; Schrooten C; Veerkamp RF
    Genet Sel Evol; 2014 Sep; 46(1):52. PubMed ID: 25928875
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances.
    Su G; Christensen OF; Janss L; Lund MS
    J Dairy Sci; 2014 Oct; 97(10):6547-59. PubMed ID: 25129495
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Genome-wide association study and prediction of genomic breeding values for fatty-acid composition in Korean Hanwoo cattle using a high-density single-nucleotide polymorphism array.
    Bhuiyan MSA; Kim YK; Kim HJ; Lee DH; Lee SH; Yoon HB; Lee SH
    J Anim Sci; 2018 Sep; 96(10):4063-4075. PubMed ID: 30265318
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers.
    Moser G; Tier B; Crump RE; Khatkar MS; Raadsma HW
    Genet Sel Evol; 2009 Dec; 41(1):56. PubMed ID: 20043835
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture.
    Ni G; Cavero D; Fangmann A; Erbe M; Simianer H
    Genet Sel Evol; 2017 Jan; 49(1):8. PubMed ID: 28093063
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detecting effective starting point of genomic selection by divergent trends from best linear unbiased prediction and single-step genomic best linear unbiased prediction in pigs, beef cattle, and broilers.
    Abdollahi-Arpanahi R; Lourenco D; Misztal I
    J Anim Sci; 2021 Sep; 99(9):. PubMed ID: 34390341
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Usage of an SNP-SNP Relationship Matrix for Best Linear Unbiased Prediction (BLUP) Analysis Using a Community-Based Cohort Study.
    Lee YS; Kim HJ; Cho S; Kim H
    Genomics Inform; 2014 Dec; 12(4):254-60. PubMed ID: 25705167
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genome-enabled prediction of meat and carcass traits using Bayesian regression, single-step genomic best linear unbiased prediction and blending methods in Nelore cattle.
    Lopes FB; Baldi F; Passafaro TL; Brunes LC; Costa MFO; Eifert EC; Narciso MG; Rosa GJM; Lobo RB; Magnabosco CU
    Animal; 2021 Jan; 15(1):100006. PubMed ID: 33516009
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An efficient unified model for genome-wide association studies and genomic selection.
    Li H; Su G; Jiang L; Bao Z
    Genet Sel Evol; 2017 Aug; 49(1):64. PubMed ID: 28836943
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of genomic predictions for harvest and carcass weight in channel catfish.
    Garcia ALS; Bosworth B; Waldbieser G; Misztal I; Tsuruta S; Lourenco DAL
    Genet Sel Evol; 2018 Dec; 50(1):66. PubMed ID: 30547740
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using markers with large effect in genetic and genomic predictions.
    Lopes MS; Bovenhuis H; van Son M; Nordbø Ø; Grindflek EH; Knol EF; Bastiaansen JW
    J Anim Sci; 2017 Jan; 95(1):59-71. PubMed ID: 28177367
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions.
    Ogutu JO; Schulz-Streeck T; Piepho HP
    BMC Proc; 2012 May; 6 Suppl 2(Suppl 2):S10. PubMed ID: 22640436
    [TBL] [Abstract][Full Text] [Related]  

  • 15. High-Throughput Sequencing With the Preselection of Markers Is a Good Alternative to SNP Chips for Genomic Prediction in Broilers.
    Liu T; Luo C; Ma J; Wang Y; Shu D; Su G; Qu H
    Front Genet; 2020; 11():108. PubMed ID: 32174971
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus.
    Müller BSF; Neves LG; de Almeida Filho JE; Resende MFR; Muñoz PR; Dos Santos PET; Filho EP; Kirst M; Grattapaglia D
    BMC Genomics; 2017 Jul; 18(1):524. PubMed ID: 28693539
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genomic Prediction of Average Daily Gain, Back-Fat Thickness, and Loin Muscle Depth Using Different Genomic Tools in Canadian Swine Populations.
    Salek Ardestani S; Jafarikia M; Sargolzaei M; Sullivan B; Miar Y
    Front Genet; 2021; 12():665344. PubMed ID: 34149806
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of multivariate single-step SNP best linear unbiased predictor model and revised SNP list for genomic evaluation of dairy cattle in Australia.
    Konstantinov KV; Goddard ME
    J Dairy Sci; 2020 Sep; 103(9):8305-8316. PubMed ID: 32622609
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Different methods to calculate genomic predictions--comparisons of BLUP at the single nucleotide polymorphism level (SNP-BLUP), BLUP at the individual level (G-BLUP), and the one-step approach (H-BLUP).
    Koivula M; Strandén I; Su G; Mäntysaari EA
    J Dairy Sci; 2012 Jul; 95(7):4065-73. PubMed ID: 22720963
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genome-wide association mapping and genomic prediction of agronomical traits and breeding values in Iranian wheat under rain-fed and well-watered conditions.
    Rabieyan E; Bihamta MR; Moghaddam ME; Mohammadi V; Alipour H
    BMC Genomics; 2022 Dec; 23(1):831. PubMed ID: 36522726
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.