Prediction model for malignant pulmonary nodules based on cfMeDIP‐seq and machine learning
Prediction model for malignant pulmonary nodules based on cfMeDIP‐seq and machine learning
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Author / Creator
Qi, Jian , Hong, Bo , Tao, Rui , Sun, Ruifang , Zhang, Huanhu , Zhang, Xiaopeng , Ji, Jie , Wang, Shujie , Liu, Yanzhe , Deng, Qingmei , Wang, Hongzhi , Zhao, Dahai and Nie, Jinfu
Publisher
Tokyo: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
Tokyo: John Wiley & Sons, Inc
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Contents
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...
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Full title
Prediction model for malignant pulmonary nodules based on cfMeDIP‐seq and machine learning
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8409309
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8409309
Other Identifiers
ISSN
1347-9032,1349-7006
E-ISSN
1349-7006
DOI
10.1111/cas.15052
