:

Alexey A Orlov1, Tagir N Akhmetshin1, Dragos Horvath1

  • 1Laboratory of Chemoinformatics, UMR 7140 CNRS, University of Strasbourg, 4, Blaise Pascal Str., 67000, Strasbourg, France.

Molecular informatics
|December 5, 2024
PubMed
概括

本研究评估了用于分析化学数据的维度减小技术. 主成分分析 (PCA),t-分布式静态邻居嵌入 (t-SNE),统一多重近似和投影 (UMAP) 和生成拓映射 (GTM) 在可视化小分子方面的有效性进行了比较.

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