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基于粒子群优化算法和XGBoost模型的代谢学数据中缺少数据类型的歧视.

Yang Yuan1, Jianqiang Du2,3, Jigen Luo1,4

  • 1School of Computer Science, Jiangxi University of Chinese Medicine, Nanchang, 330004, China.

Scientific reports
|January 3, 2024
PubMed
概括

这项研究引入了一种新的模型,PX-MDC,用于对代谢学中缺失的数据类型进行分类. 它通过区分缺失值的不同原因来提高数据归算的准确性.

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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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