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Updated: Jun 13, 2025

A Quantitative Fluorescence Microscopy-based Single Liposome Assay for Detecting the Compositional Inhomogeneity Between Individual Liposomes
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数据质量和数据量对内在可溶性估计的影响:基于单一来源数据集的分析

Jiaxi Zhao1, Eline Hermans2, Kia Sepassi3

  • 1Department of Pharmacy, Uppsala University, 751 23 Uppsala, Sweden.

Molecular pharmaceutics
|September 13, 2024
PubMed
概括

高质量的数据改善了制药溶解性预测. 即使是大型,杂的数据集也可以产生准确的结果,但关键数据审查对于避免偏见错误和提高药物发现模型性能至关重要.

关键词:
数据质量数据质量数据质量固有的溶解性 固有的溶解性机器学习是机器学习.定量结构与财产关系 (QSPR)可溶性预测可溶性预测

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