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Machine learning and molecular subtyping
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For the identification of the characteristic genes, LASSO logistic regression and support vector machine recursive feature elimination (SVM-RFE) algorithms were utilized (9). Machine learning algorithms were utilized to select the optimized variables through dimensionality reduction. A consensus clustering analysis was performed using the ConsensusClusterPlus package and the resamplings of which was 1,000.
Copyright and License information: ©2022 Zhang, Wu, Huang, Du, Nie, Su and Li
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