A robust knockoff filter for sparse regression analysis of microbiome compositional data
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DOI: 10.1007/s00180-022-01268-7
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- M Sesia & C Sabatti & E J Candès, 2019. "Gene hunting with hidden Markov model knockoffs," Biometrika, Biometrika Trust, vol. 106(1), pages 1-18.
- Runze Li & Wei Zhong & Liping Zhu, 2012. "Feature Screening via Distance Correlation Learning," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 1129-1139, September.
- Jacob T. Nearing & Gavin M. Douglas & Molly G. Hayes & Jocelyn MacDonald & Dhwani K. Desai & Nicole Allward & Casey M. A. Jones & Robyn J. Wright & Akhilesh S. Dhanani & André M. Comeau & Morgan G. I., 2022. "Microbiome differential abundance methods produce different results across 38 datasets," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
- John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
- Stephen Bates & Emmanuel Candès & Lucas Janson & Wenshuo Wang, 2021. "Metropolized Knockoff Sampling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(535), pages 1413-1427, July.
- M Sesia & C Sabatti & E J Candès, 2019. "Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’," Biometrika, Biometrika Trust, vol. 106(1), pages 35-45.
- Wei Lin & Pixu Shi & Rui Feng & Hongzhe Li, 2014. "Variable selection in regression with compositional covariates," Biometrika, Biometrika Trust, vol. 101(4), pages 785-797.
- Arun Srinivasan & Lingzhou Xue & Xiang Zhan, 2021. "Compositional knockoff filter for high‐dimensional regression analysis of microbiome data," Biometrics, The International Biometric Society, vol. 77(3), pages 984-995, September.
- Jianqing Fan & Jinchi Lv, 2008. "Sure independence screening for ultrahigh dimensional feature space," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(5), pages 849-911, November.
- Xiaoyi Zhu & Yuhong Yang, 2015. "Variable selection after screening: with or without data splitting?," Computational Statistics, Springer, vol. 30(1), pages 191-203, March.
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Keywords
False discovery rate (FDR); High-dimensional regression; Knockoffs; Variable selection; Robustness;All these keywords.
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