R 如何标准化微阵列数据集？
我想将表达式级别的值转换为z-score（mean-x/sd）。我的微阵列中有两种类型的样本（Affymetrix GeneChip Human Genome U133+2.0）（正常与病例），我是否必须只计算正常样本的平均值和sd，然后使用z评分公式，然后对病例样本进行计算，或者我必须找到整个样本的平均值和sdR 如何标准化微阵列数据集？,r,R,我想将表达式级别的值转换为z-score（mean-x/sd）。我的微阵列中有两种类型的样本（Affymetrix GeneChip Human Genome U133+2.0）（正常与病例），我是否必须只计算正常样本的平均值和sd，然后使用z评分公式，然后对病例样本进行计算，或者我必须找到整个样本的平均值和sd ID_REF Normal Normal Normal Normal Normal Normal Normal Norm
ID_REF Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Normal Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic Diabetic
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提前感谢请提供一些样本数据。我正在根据原始结果分析微阵列，并将计算所有样本、致畸和对照组的每个标记的z分数。然而，我从未做过这样的计算。你说的标准化是什么意思？由于我假设您的信号值已经在标准化之后，请显示一些示例数据。你的微阵列是什么类型的？Illumina，Affymetrix？如果您想检查对照组-治疗组之间表达式的差异，我建议使用经典的折叠变化，然后记录折叠变化计算。@Adamm我更新帖子。@Adamm我想通过使用z分数来计算表达式（平均值=0和sd=1），我想找到正态分布，而不是折叠变化OK I udnestand，我将计算整个芯片的z分数，正如这里所描述的