Prediction model for malignant pulmonary nodules based on cfMeDIP‐seq and machine learning

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...

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Veröffentlicht in:	Cancer science 2021-09, Vol.112 (9), p.3918-3923
Hauptverfasser:	Qi, Jian, Hong, Bo, Tao, Rui, Sun, Ruifang, Zhang, Huanhu, Zhang, Xiaopeng, Ji, Jie, Wang, Shujie, Liu, Yanzhe, Deng, Qingmei, Wang, Hongzhi, Zhao, Dahai, Nie, Jinfu
Format:	Artikel
Sprache:	eng
Schlagworte:	Bisulfite Cancer cfDNA methylation cfMeDIP‐seq Deoxyribonucleic acid Diagnosis DNA DNA methylation DNA sequencing Genomes Genomics Health aspects Immunoprecipitation Learning algorithms Lung cancer Lung nodules Machine learning Medical imaging Methylation Plasma Prediction models pulmonary nodule Sulfites Tumors
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