Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs

Application of random forest based on semi-automatic parameter adjustment for optimization of anti-breast cancer drugs

The optimization of drug properties in the process of cancer drug development is very important to save research and development time and cost. In order to make the anti-breast cancer drug candidates with good biological activity, this paper collected 1974 compounds, firstly, the top 20 molecular de...

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Bibliographic Details
Main Authors:	Jiajia Liu, Zhihui Zhou, Shanshan Kong, Zezhong Ma
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-07-01
Series:	Frontiers in Oncology
Subjects:	anti-breast cancer parameter optimization random forest xgboost bioactivity
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2022.956705/full

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