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Updated: Jul 13, 2025

High-Throughput Measurement and Classification of Organic P in Environmental Samples
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Published on: June 8, 2011

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使用机器学习预测有机化合物的水溶性:对基于描述器和基于指纹的模型进行比较研究

Arash Tayyebi1, Ali S Alshami2, Zeinab Rabiei3

  • 1University of North Dakota, Chemical Engineering, Grand Forks, ND, 58201, USA.

Journal of cheminformatics
|October 18, 2023
PubMed
概括

机器学习模型使用分子描述符和指纹准确地预测化学水溶性. 物理化学描述器实现了更高的预测准确性,为材料设计提供了具有成本效益的工具.

关键词:
在水中溶解度水溶性.他们的指纹是指纹.机器学习是机器学习.随机的森林随机的森林这就是 SHAP SHAP 的意思.

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