[1]王婷),曾平)#,黄水平),等.错误发现率的经验估计和应用*[J].郑州大学学报(医学版),2012,(05):636.
 WANG Ting),ZENG Ping),HUANG Shuiping),et al.Empirical estimation and application of false discovery rate[J].JOURNAL OF ZHENGZHOU UNIVERSITY(MEDICAL SCIENCES),2012,(05):636.
点击复制

错误发现率的经验估计和应用*
分享到:

《郑州大学学报(医学版)》[ISSN:1671-6825/CN:41-1340/R]

卷:
期数:
2012年05期
页码:
636
栏目:
论著
出版日期:
2012-09-20

文章信息/Info

Title:
Empirical estimation and application of false discovery rate
作者:
王婷1)曾平12)#黄水平1)赵华硕1)
1)徐州医学院公共卫生学院流行病与卫生统计学教研室 徐州 221002 2)南京医科大学公共卫生学院流行病与卫生统计学教研室 南京 210029
Author(s):
WANG Ting1)ZENG Ping12)HUANG Shuiping1)ZHAO Huashuo1)
1)Department of Epidemiology and Health Statistics,School of Public Health,Xuzhou Medical College,Xuzhou 221002 2)Department of Epidemiology and Health Statistics,School of Public Health,Nanjing Medical University,Nanjing 210029
关键词:
微阵列数据错误发现率经验贝叶斯密度估计
Keywords:
microarray datafalse discovery rateempirical Bayesdensity estimation
分类号:
R195.1
摘要:
目的:研究大规模数据中的密度、无效分布和错误发现率的经验贝叶斯估计和应用。方法:对2个微阵列数据的贝叶斯模型,采用Poisson回归方法估计密度函数,并在此基础上经验估计贝叶斯错误发现率和局部错误发现率。结果:基于Poisson回归方法的密度估计为无效分布和错误发现率的经验贝叶斯估计提供了恰当的方法选择。结论:大规模数据的平行结构使得对错误发现率和无效分布的估计变得可能。
Abstract:
Aim:To investigate the empirical Bayesian estimation and application for density, null distribution and false discovery rate in large scale data.Methods:A Bayesian twogroup model was constructed for two microarray data, density function was estimated using the method of Poisson regression, and then the empirical Bayes was applied to estimate false discovery rate and local false discovery rate based on the estimated density.Results: The method of Poisson regression for density estimation was an appropriate alternative for the empirical Bayesian estimation for null distribution and false discovery rate.Conclusion:It is feasible to estimate false discovery rate and null distribution empirically by employing the parallel data structure in large scale data.

参考文献/References:

[1]Benjamini Y, Hochberg Y. Controlling the false discovery rate:a practical and powerful approach to multiple testing[J].J Royal Statist Soc:Series B,1995,57(1):289
[2]Benjamini Y. Discovering the false discovery rate [J].J Royal Statist Soc:Series B,2010,72(4):405
[3]Dudoit S,Shaffer JP,Boldrick JC.Multiple hypothesis testing in microarray experiments [J].Statist Sci,2003,18(1):71
[4]Lazar N. The statistical analysis of functional MRI data [M]. New York: Springer, 2008.
[5]Storey JD. The positive false discovery rate:a Bayesian interpretation and the qvalue [J]. Ann Statist,2003,31(6):2013
[6]Efron B, Tibshirani R, Storey JD, et al. Empirical Bayes analysis of a microarray experiment [J]. J Am Statist Ass,2001,96(456):1151
[7]Singh D, Febbo PG, Ross K, et al. Gene expression correlates of clinical prostate cancer behavior [J].Cancer Cell,2002,1(2):203
[8]Golub TR, Slonim DK,Tamayo P,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring[J].Science,1999,286(5439):531
[9]Efron B. Microarrays, empirical Bayes, and the twogroups model [J]. Statistical Science, 2008,23(11):1
[10]Efron B.Largescale stimultaneous hypothesis testing:the choice of a hull hypothesis[J].J Am Statist Ass,2004,99(1):96
[11]Efron B. Doing thousands of hypothesis tests at the same time [J].Metron Int J Statist,2007,65(1):3
[12]Strimmer K. A unified approach to false discovery rate estimation[J].BMC Bioinformatics,2008,9:303

相似文献/References:

[1]王婷),曾平)#,黄水平),等.微阵列数据分析和错误发现率*[J].郑州大学学报(医学版),2013,(01):59.
 WANG Ting,ZENG Ping,HUANG Shuiping,et al.Microarray data analysis and false discovery rate[J].JOURNAL OF ZHENGZHOU UNIVERSITY(MEDICAL SCIENCES),2013,(05):59.

备注/Memo

备注/Memo:
*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 #通讯作者,男,1982年7月生,硕士,助教,研究方向:高纬数据分析和贝叶斯统计,Email:zpstat@xzmc.edu.cn
更新日期/Last Update: 1900-01-01