Author:
Huang Haiyan,Li Xiangyu,Guo You,Zhang Yuncong,Deng Xusheng,Chen Lufei,Zhang Jiahui,Guo Zheng,Ao Lu
Publisher
Springer Science and Business Media LLC
Reference62 articles.
1. Feten, G., Aastveit, A. H., Snipen, L. & Almoy, T. A discussion concerning the inclusion of variety effect when analysis of variance is used to detect differentially expressed genes. Gene Regul Syst Bio 1, 43–47 (2007).
2. Breitling, R., Armengaud, P., Amtmann, A. & Herzyk, P. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments. FEBS Lett 573, 83–92, doi: 10.1016/j.febslet.2004.07.055 (2004).
3. Smyth, G. K. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol 3, Article 3, doi: 10.2202/1544-6115.1027 (2004).
4. Pounds, S. & Rai, S. N. Assumption Adequacy Averaging as a Concept to Develop More Robust Methods for Differential Gene Expression Analysis. Comput Stat Data Anal 53, 1604–1612, doi: 10.1016/j.csda.2008.05.010 (2009).
5. McCarthy, D. J. & Smyth, G. K. Testing significance relative to a fold-change threshold is a TREAT. Bioinformatics 25, 765–771, doi: 10.1093/bioinformatics/btp053 (2009).
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献