Batch effects removal for microbiome data via conditional quantile regression
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DOI: 10.1038/s41467-022-33071-9
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- András Maifeld & Hendrik Bartolomaeus & Ulrike Löber & Ellen G. Avery & Nico Steckhan & Lajos Markó & Nicola Wilck & Ibrahim Hamad & Urša Šušnjar & Anja Mähler & Christoph Hohmann & Chia-Yu Chen & Hol, 2021. "Fasting alters the gut microbiome reducing blood pressure and body weight in metabolic syndrome patients," Nature Communications, Nature, vol. 12(1), pages 1-20, December.
- Peter J. Turnbaugh & Micah Hamady & Tanya Yatsunenko & Brandi L. Cantarel & Alexis Duncan & Ruth E. Ley & Mitchell L. Sogin & William J. Jones & Bruce A. Roe & Jason P. Affourtit & Michael Egholm & Be, 2009. "A core gut microbiome in obese and lean twins," Nature, Nature, vol. 457(7228), pages 480-484, January.
- Machado, Jose A.F. & Silva, J. M. C. Santos, 2005.
"Quantiles for Counts,"
Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1226-1237, December.
- Jose A. F. Machado Machado & Joao Santos Silva Santos Silva, 2002. "Quantiles for counts," CeMMAP working papers CWP22/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- J.A.F. Machado & J. M. C. Santos Silva, 2003. "Quantiles for Counts," Econometrics 0303001, University Library of Munich, Germany.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
- Junjie Qin & Yingrui Li & Zhiming Cai & Shenghui Li & Jianfeng Zhu & Fan Zhang & Suisha Liang & Wenwei Zhang & Yuanlin Guan & Dongqian Shen & Yangqing Peng & Dongya Zhang & Zhuye Jie & Wenxian Wu & Yo, 2012. "A metagenome-wide association study of gut microbiota in type 2 diabetes," Nature, Nature, vol. 490(7418), pages 55-60, October.
- Sean M Gibbons & Claire Duvallet & Eric J Alm, 2018. "Correcting for batch effects in case-control microbiome studies," PLOS Computational Biology, Public Library of Science, vol. 14(4), pages 1-17, April.
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