Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning
收藏科学数据银行2022-10-31 更新2026-04-23 收录
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资源简介：
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentially methylated regions (DMR) of cfDNA between lung tumors and normal controls. Based on the top 300 DMR, we built a random forest prediction model, which was able to distinguish malignant lung tumors from normal controls with high sensitivity and specificity of 91.0% and 93.3% (AUROC curve of 0.963). In summary, we reported a non–invasive prediction model that had good ability to distinguish malignant pulmonary nodules.
提供机构：
USTC; Jinfu Nie; 合肥物质科学研究院
创建时间：
2022-10-28
