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Desvelando las características moleculares óptimas para las ideas de hERG con aprendizaje automático

Congying Xu1, Youjun Xu2, Ziang Hu2,3

  • 1Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.

Journal of pharmaceutical analysis
|January 5, 2026
PubMed
Resumen

No abstract available in PubMed .

Palabras clave:
Aprendizaje automático de máquinasCombinación de característicasRepresentaciones previamente entrenadasXGBoost es muy bueno.Predicción de la obstrucción del hERG

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