English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 58323/91877 (63%)
造訪人次 : 14309778      線上人數 : 118
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69244

    題名: Testing for Differently Expressed Genes with Microarray Data
    作者: 陳怡如;Chen, James J.;Tsai, Chen-an
    貢獻者: 淡江大學統計學系
    日期: 2003-08
    上傳時間: 2011-10-23 16:43:12 (UTC+8)
    摘要: This paper compares the type I error and power of the one‐ and two‐sample t‐tests, and the one‐ and two‐sample permutation tests for detecting differences in gene expression between two microarray samples with replicates using Monte Carlo simulations. When data are generated from a normal distribution, type I errors and powers of the one‐sample parametric t‐test and one‐sample permutation test are very close, as are the two‐sample t‐test and two‐sample permutation test, provided that the number of replicates is adequate. When data are generated from a t‐distribution, the permutation tests outperform the corresponding parametric tests if the number of replicates is at least five. For data from a two‐color dye swap experiment, the one‐sample test appears to perform better than the two‐sample test since expression measurements for control and treatment samples from the same spot are correlated. For data from independent samples, such as the one‐channel array or two‐channel array experiment using reference design, the two‐sample t‐tests appear more powerful than the one‐sample t‐tests.
    關聯: Nuclei Acids Research 37(9), pp.e52
    DOI: 10.1093/nar/gng052
    顯示於類別:[統計學系暨研究所] 期刊論文


    檔案 描述 大小格式瀏覽次數
    Testing for Differently Expressed Genes with Microarray Data.pdf407KbAdobe PDF0檢視/開啟



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋