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机构地区:[1]中国农业大学动物科技学院,农业生物技术国家重点实验室,农业部畜禽遗传育种重点开放实验室,北京100094
出 处:《Acta Genetica Sinica》2006年第1期80-88,共9页
基 金:This Work Was Supported by the National Key Basic Research Program of China (No.G2000016103).
摘 要:cDNA微阵列数据中包含许多变异因素,用于检测差异表达基因和其它统计分析前,必须将这些“噪音”剔除。对 数比法(背景校正、对数比转换和数据标准化)已经被广泛应用于cDNA微阵列数据分析中,然而这种方法却存在着一些 亟待解决的缺陷。对此,该文提出一种非转换方法,它可免去对数比的转化过程,直接在背景校正后进行数据标准化,可 以有效剔除实验“噪音”。研究结果表明:在检测差异表达基因的效率方面,非转换方法比常规的对数比法具有更好的稳 健性和更高的检测功效,基因检出率和准确性大大提高。cDNA microarray data are subject to many sources of variation that have to be removed before statistical tests can be applied for identifying genes that are expressed differentially. Background correction, log-ratio transformation, and normalization, referred as the log-ratio approach, have been widely used for this purpose. However, there are some problems associated with this procedure. In this study, we proposed an altemative approach that obviates the log-ratio transformation step and goes directly to normalization after background correction. The method can estimate the "noise" effect by utilizing the information more effectively Simulation studies were carried out to compare the feasibility and efficiency of this approach for detecting the specifically and differentially expressed genes under various conditions with the log-ratio approach. The results showed that our approach worked well and was more robust and powerful than the log-ratio approach.
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