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

CONCLUSIONS: We identified 479 stage II colorectal cancer recurrence associated genes by microarray meta-analysis. The random survival forest model which was based on the recurrence associated gene signature could strongly predict the recurrence risk of stage II colorectal cancer patients.PMID:33628243 | PMC:PMC7889382 | DOI:10.1155/2021/6657397
Source: Journal of Oncology - Category: Cancer & Oncology Authors: Source Type: research