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Connection

Riyan Cheng to Quantitative Trait Loci

This is a "connection" page, showing publications Riyan Cheng has written about Quantitative Trait Loci.
Connection Strength

2.365
  1. Selecting informative traits for multivariate quantitative trait locus mapping helps to gain optimal power. Genetics. 2013 Nov; 195(3):683-91.
    View in: PubMed
    Score: 0.350
  2. A simulation study of permutation, bootstrap, and gene dropping for assessing statistical significance in the case of unequal relatedness. Genetics. 2013 Mar; 193(3):1015-8.
    View in: PubMed
    Score: 0.335
  3. Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass. Mamm Genome. 2011 Oct; 22(9-10):530-43.
    View in: PubMed
    Score: 0.302
  4. Genome-wide association studies and the problem of relatedness among advanced intercross lines and other highly recombinant populations. Genetics. 2010 Jul; 185(3):1033-44.
    View in: PubMed
    Score: 0.279
  5. An exponential increase in QTL detection with an increased sample size. Genetics. 2023 05 26; 224(2).
    View in: PubMed
    Score: 0.172
  6. Novel Resampling Improves Statistical Power for Multiple-Trait QTL Mapping. G3 (Bethesda). 2017 03 10; 7(3):813-822.
    View in: PubMed
    Score: 0.112
  7. Hnrnph1 Is A Quantitative Trait Gene for Methamphetamine Sensitivity. PLoS Genet. 2015 Dec; 11(12):e1005713.
    View in: PubMed
    Score: 0.103
  8. Quantitative trait locus mapping methods for diversity outbred mice. G3 (Bethesda). 2014 Sep 18; 4(9):1623-33.
    View in: PubMed
    Score: 0.094
  9. Discovery and refinement of muscle weight QTLs in B6 × D2 advanced intercross mice. Physiol Genomics. 2014 Aug 15; 46(16):571-82.
    View in: PubMed
    Score: 0.093
  10. Practical considerations regarding the use of genotype and pedigree data to model relatedness in the context of genome-wide association studies. G3 (Bethesda). 2013 Oct 03; 3(10):1861-7.
    View in: PubMed
    Score: 0.088
  11. QTLs for murine red blood cell parameters in LG/J and SM/J F(2) and advanced intercross lines. Mamm Genome. 2012 Jun; 23(5-6):356-66.
    View in: PubMed
    Score: 0.079
  12. Genome-wide association for methamphetamine sensitivity in an advanced intercross mouse line. Genes Brain Behav. 2012 Feb; 11(1):52-61.
    View in: PubMed
    Score: 0.078
  13. QTLRel: an R package for genome-wide association studies in which relatedness is a concern. BMC Genet. 2011 Jul 27; 12:66.
    View in: PubMed
    Score: 0.076
  14. Fine mapping of QTL for prepulse inhibition in LG/J and SM/J mice using F(2) and advanced intercross lines. Genes Brain Behav. 2010 Oct; 9(7):759-67.
    View in: PubMed
    Score: 0.071
  15. Extending the modified bayesian information criterion (mBIC) to dense markers and multiple interval mapping. Biometrics. 2008 Dec; 64(4):1162-9.
    View in: PubMed
    Score: 0.060
  16. Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2. Am J Hum Genet. 2019 12 05; 105(6):1222-1236.
    View in: PubMed
    Score: 0.034
  17. Genetic variation for life history sensitivity to seasonal warming in Arabidopsis thaliana. Genetics. 2014 Feb; 196(2):569-77.
    View in: PubMed
    Score: 0.022
  18. Fine-mapping alleles for body weight in LG/J × SM/J F2 and F(34) advanced intercross lines. Mamm Genome. 2011 Oct; 22(9-10):563-71.
    View in: PubMed
    Score: 0.019
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.