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Updated: Jul 19, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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一种新型的变量选择方法,基于捆绑-规范化相互信息,用于多变量校准

Liang Zhong1, Ruiqi Huang1, Lele Gao1

  • 1NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

Molecules (Basel, Switzerland)
|August 12, 2023
PubMed
概括

一种新方法,即binning-normalized mutual information (B-NMI),通过选择关键波长来增强近红外光谱分析. 这种方法提高了模型性能,为复杂的样本提供了更稳定,更强大的结果.

关键词:
数据组合数据组合.接近红外光谱学近红外光谱学规范化的相互信息.选择变量的选择变量.

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