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.
158 related articles for article (PubMed ID: 15579721)
1. A unified statistical model for functional mapping of environment-dependent genetic expression and genotype x environment interactions for ontogenetic development. Zhao W; Zhu J; Gallo-Meagher M; Wu R Genetics; 2004 Nov; 168(3):1751-62. PubMed ID: 15579721 [TBL] [Abstract][Full Text] [Related]
2. A unifying statistical model for QTL mapping of genotype x sex interaction for developmental trajectories. Zhao W; Ma C; Cheverud JM; Wu R Physiol Genomics; 2004 Oct; 19(2):218-27. PubMed ID: 15304622 [TBL] [Abstract][Full Text] [Related]
3. Mechanistic mapping of ontogenetic growth based on biological principles. Lin M; Ma CX; Zhao W; Cheverud JM; Wu R Growth Dev Aging; 2005; 69(1):31-7. PubMed ID: 16180591 [TBL] [Abstract][Full Text] [Related]
4. Functional mapping of genotype-environment interactions for soybean growth by a semiparametric approach. Li Q; Huang Z; Xu M; Wang C; Gai J; Huang Y; Pang X; Wu R Plant Methods; 2010 Jun; 6():13. PubMed ID: 20525184 [TBL] [Abstract][Full Text] [Related]
5. Functional mapping for quantitative trait loci governing growth rates: a parametric model. Wu R; Ma CX; Zhao W; Casella G Physiol Genomics; 2003 Aug; 14(3):241-9. PubMed ID: 12923301 [TBL] [Abstract][Full Text] [Related]
6. A general framework for analyzing the genetic architecture of developmental characteristics. Wu R; Ma CX; Lin M; Casella G Genetics; 2004 Mar; 166(3):1541-51. PubMed ID: 15082567 [TBL] [Abstract][Full Text] [Related]
7. Functional mapping of quantitative trait loci that interact with the hg mutation to regulate growth trajectories in mice. Wu R; Ma CX; Hou W; Corva P; Medrano JF Genetics; 2005 Sep; 171(1):239-49. PubMed ID: 15965258 [TBL] [Abstract][Full Text] [Related]
8. Functional mapping of quantitative trait loci underlying the character process: a theoretical framework. Ma CX; Casella G; Wu R Genetics; 2002 Aug; 161(4):1751-62. PubMed ID: 12196415 [TBL] [Abstract][Full Text] [Related]
9. Functional mapping of quantitative trait loci underlying growth trajectories using a transform-both-sides logistic model. Wu R; Ma CX; Lin M; Wang Z; Casella G Biometrics; 2004 Sep; 60(3):729-38. PubMed ID: 15339296 [TBL] [Abstract][Full Text] [Related]
10. QTL mapping and the genetic basis of adaptation: recent developments. Zeng ZB Genetica; 2005 Feb; 123(1-2):25-37. PubMed ID: 15881678 [TBL] [Abstract][Full Text] [Related]
11. A hyperspace model to decipher the genetic architecture of developmental processes: allometry meets ontogeny. Wu R; Hou W Genetics; 2006 Jan; 172(1):627-37. PubMed ID: 16157673 [TBL] [Abstract][Full Text] [Related]
12. QTL x environment interactions in rice. I. heading date and plant height. Li ZK; Yu SB; Lafitte HR; Huang N; Courtois B; Hittalmani S; Vijayakumar CH; Liu GF; Wang GC; Shashidhar HE; Zhuang JY; Zheng KL; Singh VP; Sidhu JS; Srivantaneeyakul S; Khush GS Theor Appl Genet; 2003 Dec; 108(1):141-53. PubMed ID: 12961067 [TBL] [Abstract][Full Text] [Related]
13. A statistical model for testing the pleiotropic control of phenotypic plasticity for a count trait. Ma CX; Yu Q; Berg A; Drost D; Novaes E; Fu G; Yap JS; Tan A; Kirst M; Cui Y; Wu R Genetics; 2008 May; 179(1):627-36. PubMed ID: 18493077 [TBL] [Abstract][Full Text] [Related]
14. A mechanistic model for genetic machinery of ontogenetic growth. Wu R; Wang Z; Zhao W; Cheverud JM Genetics; 2004 Dec; 168(4):2383-94. PubMed ID: 15371347 [TBL] [Abstract][Full Text] [Related]
15. A dynamic framework for quantifying the genetic architecture of phenotypic plasticity. Wang Z; Pang X; Lv Y; Xu F; Zhou T; Li X; Feng S; Li J; Li Z; Wu R Brief Bioinform; 2013 Jan; 14(1):82-95. PubMed ID: 22396460 [TBL] [Abstract][Full Text] [Related]
16. Crop management impacts the efficiency of quantitative trait loci (QTL) detection and use: case study of fruit loadĂ—QTL interactions. Kromdijk J; Bertin N; Heuvelink E; Molenaar J; de Visser PH; Marcelis LF; Struik PC J Exp Bot; 2014 Jan; 65(1):11-22. PubMed ID: 24227339 [TBL] [Abstract][Full Text] [Related]
17. Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population II: conventional QTL analysis. MacMillan K; Emrich K; Piepho HP; Mullins CE; Price AH Theor Appl Genet; 2006 Sep; 113(5):953-64. PubMed ID: 16896715 [TBL] [Abstract][Full Text] [Related]
18. Modelling epistatic effects of embryo and endosperm QTL on seed quality traits. Cui Y; Wu J; Shi C; Littell RC; Wu R Genet Res; 2006 Feb; 87(1):61-71. PubMed ID: 16545151 [TBL] [Abstract][Full Text] [Related]
19. An algorithm for molecular dissection of tumor progression. Liu T; Zhao W; Tian L; Wu R J Math Biol; 2005 Mar; 50(3):336-54. PubMed ID: 15549312 [TBL] [Abstract][Full Text] [Related]
20. The full EM algorithm for the MLEs of QTL effects and positions and their estimated variances in multiple-interval mapping. Chen Z Biometrics; 2005 Jun; 61(2):474-80. PubMed ID: 16011694 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]