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 *

156 related articles for article (PubMed ID: 18211869)

  • 1. Estimation of quantitative genetic parameters.
    Thompson R
    Proc Biol Sci; 2008 Mar; 275(1635):679-86. PubMed ID: 18211869
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accounting for genetic differences among unknown parents in microevolutionary studies: how to include genetic groups in quantitative genetic animal models.
    Wolak ME; Reid JM
    J Anim Ecol; 2017 Jan; 86(1):7-20. PubMed ID: 27731502
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Marker-based estimation of the coefficient of coancestry in hybrid breeding programmes.
    Maenhout S; De Baets B; Haesaert G
    Theor Appl Genet; 2009 Apr; 118(6):1181-92. PubMed ID: 19224194
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Desert island papers-A life in variance parameter and quantitative genetic parameter estimation reviewed using 16 papers.
    Thompson R
    J Anim Breed Genet; 2019 Jul; 136(4):230-242. PubMed ID: 31247681
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of genetic parameters and prediction of breeding values for multivariate threshold and continuous data in a simulated horse population using Gibbs sampling and residual maximum likelihood.
    Stock KF; Hoeschele I; Distl O
    J Anim Breed Genet; 2007 Oct; 124(5):308-19. PubMed ID: 17868084
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Causes of natural variation in fitness: evidence from studies of Drosophila populations.
    Charlesworth B
    Proc Natl Acad Sci U S A; 2015 Feb; 112(6):1662-9. PubMed ID: 25572964
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonequilibrium model for estimating parameters of deleterious mutations.
    Gordo I; Dionisio F
    Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Mar; 71(3 Pt 1):031907. PubMed ID: 15903459
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimation of quantitative genetic parameters.
    Thompson R; Brotherstone S; White IM
    Philos Trans R Soc Lond B Biol Sci; 2005 Jul; 360(1459):1469-77. PubMed ID: 16048789
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimation of heterogeneous variances using empirical Bayes methods: theoretical considerations.
    Gianola D; Foulley JL; Fernando RL; Henderson CR; Weigel KA
    J Dairy Sci; 1992 Oct; 75(10):2805-23. PubMed ID: 1430485
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimation of Genetic Variance in Fitness, and Inference of Adaptation, When Fitness Follows a Log-Normal Distribution.
    Bonnet T; Morrissey MB; Kruuk LEB
    J Hered; 2019 Jul; 110(4):383-395. PubMed ID: 31242286
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Impact of sub-setting the data of the main Limousin beef cattle population on the estimates of across-country genetic correlations.
    Bonifazi R; Vandenplas J; Napel JT; Matilainen K; Veerkamp RF; Calus MPL
    Genet Sel Evol; 2020 Jun; 52(1):32. PubMed ID: 32576143
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Estimating sampling error of evolutionary statistics based on genetic covariance matrices using maximum likelihood.
    Houle D; Meyer K
    J Evol Biol; 2015 Aug; 28(8):1542-9. PubMed ID: 26079756
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Validation of an approximate REML algorithm for parameter estimation in a multitrait, multiple across-country evaluation model: a simulation study.
    Tarrés J; Liu Z; Ducrocq V; Reinhardt F; Reents R
    J Dairy Sci; 2007 Oct; 90(10):4846-55. PubMed ID: 17881708
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detecting positive selection in the genome.
    Booker TR; Jackson BC; Keightley PD
    BMC Biol; 2017 Oct; 15(1):98. PubMed ID: 29084517
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Simulation study on covariance component estimation for two binary traits in an underlying continuous scale.
    Mäntysaari EA; Quaas RL; Gröhn YT
    J Dairy Sci; 1991 Feb; 74(2):580-91. PubMed ID: 2045564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. On the use of kernel approximate Bayesian computation to infer population history.
    Nakagome S
    Genes Genet Syst; 2015; 90(3):153-62. PubMed ID: 26510570
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Quantitative genetic modeling and inference in the presence of nonignorable missing data.
    Steinsland I; Larsen CT; Roulin A; Jensen H
    Evolution; 2014 Jun; 68(6):1735-47. PubMed ID: 24673414
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An approximate multitrait model for genetic evaluation in dairy cattle with a robust estimation of genetic trends.
    Lassen J; Sørensen MK; Madsen P; Ducrocq V
    Genet Sel Evol; 2007; 39(4):353-67. PubMed ID: 17612477
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrating genomic selection into dairy cattle breeding programmes: a review.
    Bouquet A; Juga J
    Animal; 2013 May; 7(5):705-13. PubMed ID: 23200196
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of restricted maximum likelihood and method R for estimating heritability and predicting breeding value under selection.
    Cantet RJ; Birchmeier AN; Santos-Cristal MG; de Avila VS
    J Anim Sci; 2000 Oct; 78(10):2554-60. PubMed ID: 11048920
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.