郑州大学学报（医学版）2013，Vol.48Issue(1)：59-62,4.DOI:10.3969/j.issn.1671-6825.2012.06.016
微阵列数据分析和错误发现率
Microarray data analysis and false discovery rate
摘要
Abstract
Aim :To introduce the analysis of differential expression of microarray data and the multiple hypotheses testing based on the false discovery rate( FDR ). MGthodS :The t test was used for the analysis of differentially expressed genes concerning prostate cancer microarray data. FDR controlled with the procedure of Benjamini and Hochberg( BH )was empirically estimated. ReSUltS:A total of 21 differentially expressed genes were obtained by the BH procedure with the FDR of 0. 05 ;and 105 genes were obtained with an estimated FDR of 0. 20 if the rejection region was ∣t∣≥3. Conclusion :FDR is more appropriate for high-dimensional microarray data in multiple comparisons than family wise error rate; we can control and estimate the FDR at the same time.关键词
微阵列数据/多重假设检验/错误发现率/控制和估计/前列腺癌Key words
microarray data/multiple hypotheses testing/lalse discovery rate/control and estimation/prostate cancer分类
医药卫生引用本文复制引用
王婷,曾平,黄水平,赵华硕..微阵列数据分析和错误发现率[J].郑州大学学报（医学版）,2013,48(1):59-62,4.基金项目
江苏省教育厅高校哲学社会科学研究基金资助项目 2010SJB790037 （）
徐州医学院公共卫生学院科研课题资助项目 201107,201115 （）
