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

<div>(a) The time-dependent ROC curve of the simplified (twice) random survival forest model at 1 year (12 months), with an AUC of 0.995. (b) The time-dependent ROC curve of the simplified (twice) random survival forest model at 3 years (36 months), with an AUC of 0.999. (c) The time-dependent ROC curve of the simplified (twice) random survival forest model at 5 years (60 months), with an AUC of 0.993. (d) Marginal effects of variables included in the simplified (twice) random survival forest model on the recurrence-free survival probability.</div>

Journal of Oncology

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Figure 6: Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms 

Figure 6 | Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms 