https://scholars.lib.ntu.edu.tw/handle/123456789/521783
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Hsu C.-L. | en_US |
dc.contributor.author | WEN-CHUNG LEE | en_US |
dc.creator | Hsu C.-L.;Wen-Chung Lee | - |
dc.date.accessioned | 2020-11-19T08:19:22Z | - |
dc.date.available | 2020-11-19T08:19:22Z | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 0300-5771 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649790236&doi=10.1093%2fije%2fdyq093&partnerID=40&md5=705a0f3d702707a080d58a5b9936edb6 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/521783 | - |
dc.description.abstract | Background: Microarray technology provides information about hundreds and thousands of gene-expression data in a single experiment. To search for disease-related genes, researchers test for those genes that are differentially expressed between the case subjects and the control subjects. Methods: The authors propose a new test, the 'half Student's t-test', specifically for detecting differentially expressed genes in heterogeneous diseases. Monte-Carlo simulation shows that the test maintains the nominal α level quite well for both normal and non-normal distributions. Power of the half Student's t is higher than that of the conventional 'pooled' Student's t when there is heterogeneity in the disease under study. The power gain by using the half Student's t can reach ~10% when the standard deviation of the case group is 50% larger than that of the control group. Results: Application to a colon cancer data reveals that when the false discovery rate (FDR) is controlled at 0.05, the half Student's t can detect 344 differentially expressed genes, whereas the pooled Student's t can detect only 65 genes. Or alternatively, if only 50 genes are to be selected, the FDR for the pooled Student's t has to be set at 0.0320 (false positive rate of ~3%), but for the half Student's t, it can be at as low as 0.0001 (false positive rate of about one per ten thousands). Conclusions: The half Student's t-test is to be recommended for the detection of differentially expressed genes in heterogeneous diseases. Published by Oxford University Press on behalf of the International Epidemiological Association ? The Author 2010; all rights reserved. | - |
dc.language.iso | English | - |
dc.relation.ispartof | International Journal of Epidemiology | - |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | cancer; detection method; disease treatment; epidemiology; gene expression; heterogeneity; Monte Carlo analysis; article; colon cancer; controlled study; gene expression; gene identification; genetic association; Monte Carlo method; priority journal; Student t test; Colonic Neoplasms; Computer Simulation; Gene Expression; Humans; Models, Statistical; Monte Carlo Method; Statistics, Nonparametric | - |
dc.title | Detecting differentially expressed genes in heterogeneous diseases using half Student's t-test | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1093/ije/dyq093 | - |
dc.identifier.pmid | 20519335 | - |
dc.identifier.scopus | 2-s2.0-78649790236 | - |
dc.relation.pages | 1597-1604 | - |
dc.relation.journalvolume | 39 | - |
dc.relation.journalissue | 6 | - |
item.fulltext | no fulltext | - |
item.languageiso639-1 | English | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Institute of Health Data Analytics and Statistics | - |
crisitem.author.dept | Public Health | - |
crisitem.author.orcid | 0000-0003-3171-7672 | - |
crisitem.author.parentorg | College of Public Health | - |
crisitem.author.parentorg | College of Public Health | - |
顯示於: | 流行病學與預防醫學研究所 |
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