鉴于对数转换的缺点，本研究提出一种非转换方法，即背景校正后直接进行数据标准化。
A method proposed in this paper avoids the log-transformation in view of its drawbacks, specially the log-ratio transformation, but normalizes the data after background correction.
研究表明：利用这种非转换方法，可以更有效地剔除试验中的“噪音，”提高检测的准确率。
This method could better estimate the "noise" effect by utilizing the information more effectively and improve the identification power.
这种以业务对象的形式传递数据的数据检索方法称为非传递或数据转换框架(DTF)，它仅适用于结构化数据。
This method of retrieving data, that is, passing data in the form of a business object, is called non-pass-through or data Transformation Framework (DTF), and it operates on structured data.
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