3D MASS SPECTROMETRY PREDICTIVE CLASSIFICATION

A method for analyzing a multidimensional data set includes generating a multidimensional mass spectrometry data set from a sample; and generating an matrix representing the multidimensional mass spectrometry data set such that a first dimension and a second dimension of the multidimensional mass sp...

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Bibliographic Details
Main Authors ARJOMAND HOSSEIN, ATHANAS MICHAEL J
Format Patent
LanguageChinese
English
Published 17.12.2019
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Summary:A method for analyzing a multidimensional data set includes generating a multidimensional mass spectrometry data set from a sample; and generating an matrix representing the multidimensional mass spectrometry data set such that a first dimension and a second dimension of the multidimensional mass spectrometry data set correspond to a matrix cell location, and an ion intensity corresponds to a matrix cell value; and determining a class of the matrix from a plurality of matrix classes using a trained neural network matrix classifier. 一种用于分析多维数据集的方法包含从样品生成多维质谱数据集;和生成表示所述多维质谱数据集的矩阵,使得所述多维质谱数据集的第一维度和第二维度对应于矩阵单元位置,并且离子强度对应矩阵单元值;和使用训练的神经网络矩阵分类器从多个矩阵类别中确定所述矩阵的类别。
Bibliography:Application Number: CN201910480168