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A model selection approach for the identification of quantitative trait loci in experimental crosses

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Cited by:

  1. Frommlet, Florian & Ruhaltinger, Felix & Twaróg, Piotr & Bogdan, Małgorzata, 2012. "Modified versions of Bayesian Information Criterion for genome-wide association studies," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1038-1051.
  2. Eduardo F. Mendes & Gabriel J. P. Pinto, 2023. "Generalized Information Criteria for Structured Sparse Models," Papers 2309.01764, arXiv.org.
  3. Huang, B. Emma & Shah, Rohan & George, Andrew W., 2012. "dlmap: An R Package for Mixed Model QTL and Association Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i06).
  4. Zak-Szatkowska, Malgorzata & Bogdan, Malgorzata, 2011. "Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2908-2924, November.
  5. Erhardt Vinzenz & Bogdan Malgorzata & Czado Claudia, 2010. "Locating Multiple Interacting Quantitative Trait Loci with the Zero-Inflated Generalized Poisson Regression," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-27, June.
  6. Zehua Chen, 2005. "The Full EM Algorithm for the MLEs of QTL Effects and Positions and Their Estimated Variances in Multiple-Interval Mapping," Biometrics, The International Biometric Society, vol. 61(2), pages 474-480, June.
  7. Shriner, Daniel & Yi, Nengjun, 2009. "Deviance information criterion (DIC) in Bayesian multiple QTL mapping," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1850-1860, March.
  8. Edward Boone & Susan Simmons & Haikun Bao & Ann Stapleton, 2008. "Bayesian hierarchical regression models for detecting QTLs in plant experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(7), pages 799-808.
  9. Marit Ackermann & Mathieu Clément-Ziza & Jacob J Michaelson & Andreas Beyer, 2012. "Teamwork: Improved eQTL Mapping Using Combinations of Machine Learning Methods," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
  10. Yawei He & Zehua Chen, 2016. "The EBIC and a sequential procedure for feature selection in interactive linear models with high-dimensional data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 155-180, February.
  11. Baierl, Andreas & Futschik, Andreas & Bogdan, Malgorzata & Biecek, Przemyslaw, 2007. "Locating multiple interacting quantitative trait loci using robust model selection," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6423-6434, August.
  12. Gilmour, A.R., 2007. "Mixed model regression mapping for QTL detection in experimental crosses," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3749-3764, May.
  13. Shan Luo & Jinfeng Xu & Zehua Chen, 2015. "Extended Bayesian information criterion in the Cox model with a high-dimensional feature space," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(2), pages 287-311, April.
  14. Jiming Jiang & Thuan Nguyen & J. Sunil Rao, 2015. "The E-MS Algorithm: Model Selection With Incomplete Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 1136-1147, September.
  15. Małgorzata Bogdan & Florian Frommlet & Przemysław Biecek & Riyan Cheng & Jayanta K. Ghosh & R.W. Doerge, 2008. "Extending the Modified Bayesian Information Criterion (mBIC) to Dense Markers and Multiple Interval Mapping," Biometrics, The International Biometric Society, vol. 64(4), pages 1162-1169, December.
  16. Sun, Hanmei & Nguyen, Thuan & Luan, Yihui & Jiang, Jiming, 2018. "Classified mixed logistic model prediction," Journal of Multivariate Analysis, Elsevier, vol. 168(C), pages 63-74.
  17. McClosky Benjamin & Ma Xiwen & Tanksley Steven D., 2011. "Quantifying the Relative Contribution of the Heterozygous Class to QTL Detection Power," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-19, May.
  18. Frommlet Florian & Ljubic Ivana & Arnardóttir Helga Björk & Bogdan Malgorzata, 2012. "QTL Mapping Using a Memetic Algorithm with Modifications of BIC as Fitness Function," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-26, May.
  19. McLeod, A. Ian & Zhang, Ying, 2008. "Improved Subset Autoregression: With R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i02).
  20. Chun Wang, 2021. "Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 167-189, March.
  21. C. M. Kendziorski & M. Chen & M. Yuan & H. Lan & A. D. Attie, 2006. "Statistical Methods for Expression Quantitative Trait Loci (eQTL) Mapping," Biometrics, The International Biometric Society, vol. 62(1), pages 19-27, March.
  22. Hanwen Huang & Haibo Zhou & Fuxia Cheng & Ina Hoeschele & Fei Zou, 2010. "Gaussian Process Based Bayesian Semiparametric Quantitative Trait Loci Interval Mapping," Biometrics, The International Biometric Society, vol. 66(1), pages 222-232, March.
  23. Florian Frommlet & Grégory Nuel, 2016. "An Adaptive Ridge Procedure for L0 Regularization," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-23, February.
  24. Zehua Chen & Jianbin Liu, 2009. "Mixture Generalized Linear Models for Multiple Interval Mapping of Quantitative Trait Loci in Experimental Crosses," Biometrics, The International Biometric Society, vol. 65(2), pages 470-477, June.
  25. Wang, Tao & Zhu, Lixing, 2011. "Consistent tuning parameter selection in high dimensional sparse linear regression," Journal of Multivariate Analysis, Elsevier, vol. 102(7), pages 1141-1151, August.
  26. repec:jss:jstsof:28:i02 is not listed on IDEAS
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