A preprocessing study of serum mass spectrometry data using machine learning as a base
Jiaxin Han,
Ruimin Dong,
Jinjin Liang
Abstract:Mass spectrometry data preprocessing is the most basic and important part of mass spectrometry data application. Aiming at the problems of high dimension of serum mass spectrometry data, an efficient and usable preprocessing method is proposed which deals with the inconsistency of dimensions in each group, non-normalization, and non-unique attribute columns. Firstly, the method of rounding down the Mass value is used to determine the attribute column name; Secondly, four ways are used to determine the unique v… Show more
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