Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms

<div>Tuning parameter plots of (a) the primary, (b) the simplified (once), and (c) the simplified (twice) random survival forest model. Left panel: node size is the prespecified number of samples in the terminal node; mtry is the number of candidate variables randomly selected in each parent node; OOB error is the out-of-bag error. A darker color indicates larger OOB error, while a lighter color indicates smaller OOB error. Right panel: the relationship between the number of trees and error rate.</div>

Journal of Oncology

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Figure 5: Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms 

Figure 5 | Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms 