Identification of differential gene expression for microarray data using recursive random forest

Author:

WU Xiao-yan,WU Zhen-yu,LI Kang

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Feature selection methods in microarray gene expression data: a systematic mapping study;Neural Computing and Applications;2022-10-01

2. Machine learning-based classification and diagnosis of clinical cardiomyopathies;Physiological Genomics;2020-09-01

3. Random Forest Algorithm for Prediction of HIV Drug Resistance;STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health;2020

4. Predictive modeling based on random forests;Predictive Modeling of Drug Sensitivity;2017

5. Recursive Random Forests Enable Better Predictive Performance and Model Interpretation than Variable Selection by LASSO;Journal of Chemical Information and Modeling;2015-03-16

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