Predicting overall survival of patients with hepatocellular carcinoma using a three-category method based on DNA methylation and machine learning.
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ABSTRACT:
SUBMITTER: Dong RZ
PROVIDER: S-EPMC6484308 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Publications
Predicting overall survival of patients with hepatocellular carcinoma using a three-category method based on DNA methylation and machine learning.
Dong Rui-Zhao RZ Yang Xuan X Zhang Xin-Yu XY Gao Ping-Ting PT Ke Ai-Wu AW Sun Hui-Chuan HC Zhou Jian J Fan Jia J Cai Jia-Bin JB Shi Guo-Ming GM
Journal of cellular and molecular medicine 20190219 5
Hepatocellular carcinoma (HCC) is closely associated with abnormal DNA methylation. In this study, we analyzed 450K methylation chip data from 377 HCC samples and 50 adjacent normal samples in the TCGA database. We screened 47,099 differentially methylated sites using Cox regression as well as SVM-RFE and FW-SVM algorithms, and constructed a model using three risk categories to predict the overall survival based on 134 methylation sites. The model showed a 10-fold cross-validation score of 0.95 ...[more]
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