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Resampling-based multiple testing for microarray data analysis

Citations

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Cited by:

  1. Dazard, Jean-Eudes & Sunil Rao, J., 2012. "Joint adaptive mean–variance regularization and variance stabilization of high dimensional data," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2317-2333.
  2. Yue Liu & Ethan X. Fang & Junwei Lu, 2023. "Lagrangian Inference for Ranking Problems," Operations Research, INFORMS, vol. 71(1), pages 202-223, January.
  3. Bergamelli, Michele & Bianchi, Annamaria & Khalaf, Lynda & Urga, Giovanni, 2019. "Combining p-values to test for multiple structural breaks in cointegrated regressions," Journal of Econometrics, Elsevier, vol. 211(2), pages 461-482.
  4. Ge, Yongchao & Sealfon, Stuart C. & Tseng, Chi-Hong & Speed, Terence P., 2007. "A Holm-type procedure controlling the false discovery rate," Statistics & Probability Letters, Elsevier, vol. 77(18), pages 1756-1762, December.
  5. Adebowale J. Sijuwade & Swarnita Chakraborty & Nairanjana Dasgupta, 2024. "An inverse Laplace transform oracle estimator for the normal means problem," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 87(5), pages 533-550, July.
  6. Miecznikowski, Jeffrey C. & Gold, David & Shepherd, Lori & Liu, Song, 2011. "Deriving and comparing the distribution for the number of false positives in single step methods to control k-FWER," Statistics & Probability Letters, Elsevier, vol. 81(11), pages 1695-1705, November.
  7. Baolin Wu & Zhong Guan & Hongyu Zhao, 2006. "Parametric and Nonparametric FDR Estimation Revisited," Biometrics, The International Biometric Society, vol. 62(3), pages 735-744, September.
  8. Debashis Ghosh, 2006. "Shrunken p-Values for Assessing Differential Expression with Applications to Genomic Data Analysis," Biometrics, The International Biometric Society, vol. 62(4), pages 1099-1106, December.
  9. Edward L. Korn & Boris Freidlin, 2008. "A Note on Controlling the Number of False Positives," Biometrics, The International Biometric Society, vol. 64(1), pages 227-231, March.
  10. Luger, Richard, 2025. "Regularizing stock return covariance matrices via multiple testing of correlations," Journal of Econometrics, Elsevier, vol. 248(C).
  11. Kai Yu & William Wheeler & Qizhai Li & Andrew W. Bergen & Neil Caporaso & Nilanjan Chatterjee & Jinbo Chen, 2010. "A Partially Linear Tree-based Regression Model for Multivariate Outcomes," Biometrics, The International Biometric Society, vol. 66(1), pages 89-96, March.
  12. Zhenchuan Wang & Qiuying Sha & Shuanglin Zhang, 2016. "Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-12, March.
  13. Tsai, Chen-An & Chen, James J., 2007. "Kernel estimation for adjusted p-values in multiple testing," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3885-3897, May.
  14. Yifan Gu & Yang Qi & Pulin Gong, 2019. "Rich-club connectivity, diverse population coupling, and dynamical activity patterns emerging from local cortical circuits," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-34, April.
  15. repec:plo:pbio00:0030068 is not listed on IDEAS
  16. Bickel David R., 2008. "Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-27, March.
  17. Lippmann, Quentin, 2022. "Gender and lawmaking in times of quotas," Journal of Public Economics, Elsevier, vol. 207(C).
  18. Pittelkow Yvonne E & Wilson Susan R, 2003. "Visualisation of Gene Expression Data - the GE-biplot, the Chip-plot and the Gene-plot," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 2(1), pages 1-19, September.
  19. Ebrahimi, Nader, 2008. "Simultaneous control of false positives and false negatives in multiple hypotheses testing," Journal of Multivariate Analysis, Elsevier, vol. 99(3), pages 437-450, March.
  20. Guo Wenge & Peddada Shyamal, 2008. "Adaptive Choice of the Number of Bootstrap Samples in Large Scale Multiple Testing," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-21, March.
  21. Jesse Hemerik & Jelle Goeman, 2018. "Exact testing with random permutations," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(4), pages 811-825, December.
  22. Mark van der Laan & Sandrine Dudoit & Katherine Pollard, 2004. "Multiple Testing. Part II. Step-Down Procedures for Control of the Family-Wise Error Rate," U.C. Berkeley Division of Biostatistics Working Paper Series 1138, Berkeley Electronic Press.
  23. Wu, Jincao & Patwa, Tasneem H. & Lubman, David M. & Ghosh, Debashis, 2009. "Identification of differentially expressed spatial clusters using humoral response microarray data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3094-3102, June.
  24. Sheng, Xuguang & Yang, Jingyun, 2013. "An adaptive truncated product method for combining dependent p-values," Economics Letters, Elsevier, vol. 119(2), pages 180-182.
  25. Xuesong Yu & Timothy W. Randolph & Hua Tang & Li Hsu, 2010. "Detecting Genomic Aberrations Using Products in a Multiscale Analysis," Biometrics, The International Biometric Society, vol. 66(3), pages 684-693, September.
  26. Fu, Hsuan & Luger, Richard, 2022. "Multiple testing of the forward rate unbiasedness hypothesis across currencies," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 232-245.
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