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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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 2219; no. 1; pp. 12046 - 12054
Main Authors:	Mei, Kai, Tan, Meifang, Yang, Zhihui, Shi, Shaoyue
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.04.2022
Subjects:	Algorithms Biological activity Biological effects Correlation coefficients Feature selection Independent variables Pearson correlation coefficient Physics Random forest algorithm
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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