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Detection of Differentially Expressed Genes in Small Sets of cDNA Microarrays

並列摘要


Methods for testing the equality of two means are of critical importance in many areas of applied statistics. In the microarray context, it is often necessary to apply this kind of testing to small samples containing no more than a dozen elements, when inevitably the power of these tests is low. We suggest an augmentation of the classical t-test by introducing a new test statistic which we call ”bio-weight.” We show by simulation that in practically important cases of small sample size, the test based on this statistic is substantially more powerful than that of the classical t-test. The power computations are accompanied by ROC and FDR analysis of the simulated microarray data.

被引用紀錄


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邱士中(2008)。台灣債券市場信用價差與景氣循環之實證分析〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2008.01196
陳佑杰(2005)。低價機器視覺系統之硬體式影像擷取技術發展〔碩士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2005.00728
Chen, Y. H. (2011). 應用於影像壓縮之高效能轉換核心 [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2011.00700

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