井冈山大学学报（自然科学版）2016，Vol.37Issue(3)：35-40,6.DOI:10.3969/j.issn.1674-8085.2016.03.008
多重相关检验中错误发现率的控制算法
RESEARCH ON ALGORITHM OF FALSE DISCOVERY RATE CONTROL IN MULTIPLE DEPENDENT TESTS
摘要
Abstract
Hypothesis testing problem determines whether to reject the corresponding hypothesis through comparing p values with confidence level. A smaller p-value than the α-level of the test signifies a statistically significant test. As the number of tests increases, the chance of observing some small p-values is very high even when all null hypotheses are true. Consequently, we make wrong conclusions on the hypotheses. Adjustment of p-values can effectively alleviate this problem. A simulation study with several methods was carried out in multiple hypothesis testing. Simulations generate 2000 analogue. The experiment was repeated 1000 times, 1000 sets of p value are obtained. Use the adjustment methods to access the new p-value, and then compare the advantages and disadvantages of each algorithm. The correlation between genes expression is in the covariance matrix. Simulation results show that among five algorithms selected, q value method can be efficient to control the false discovery rate size, also with higher power.关键词
基因序列/零假设/备选假设/错误发现率/p值调整/检验功效Key words
gene sequence/null hypothesis/alternative hypothesis/power of test/FDR/adjustment of p-values分类
信息技术与安全科学引用本文复制引用
刘遵雄,陈昊..多重相关检验中错误发现率的控制算法[J].井冈山大学学报（自然科学版）,2016,37(3):35-40,6.基金项目
国家自然科学基金项目(71361009) （71361009）
