Modeling of Feature Selection Based on Random Forest Algorithm and Pearson Correlation Coefficient

This paper establishes a feature selection model to selects 20 molecular descriptors of compounds with the most significant influence on biological activity. Random forest algorithm was used to calculate the correlation between molecular descriptors and pIC50 values of biological activity. In this w...

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Vydané v:	Journal of physics. Conference series Ročník 2219; číslo 1; s. 12046 - 12054
Hlavní autori:	Mei, Kai, Tan, Meifang, Yang, Zhihui, Shi, Shaoyue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.04.2022
Predmet:	Algorithms Biological activity Biological effects Correlation coefficients Feature selection Independent variables Pearson correlation coefficient Physics Random forest algorithm
ISSN:	1742-6588, 1742-6596
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