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Original Research

Identification of feature genes for smoking-related lung adenocarcinoma based on gene expression profile data

Ying LiuRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

Ran NiRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

Hui ZhangRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

Lijun MiaoRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

Jing WangRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of ChinaCorrespondence[email protected]

Wenqing JiaRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

Yuanyuan WangRespiration Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China

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Pages 7397-7407 | Published online: 07 Dec 2016

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Jin Wang, Tao Chen, Xiaofan Yu, Nan OUYang, Lirong Tan, Beibei Jia, Jian Tong & Jianxiang Li. (2020) Identification and validation of smoking-related genes in lung adenocarcinoma using an in vitro carcinogenesis model and bioinformatics analysis. Journal of Translational Medicine 18:1.
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XiaoCong Wang, YanMei Li, HuiHua Hu, FangZheng Zhou, Jie Chen & DongSheng Zhang. (2020) Comprehensive analysis of gene expression and DNA methylation data identifies potential biomarkers and functional epigenetic modules for lung adenocarcinoma. Genetics and Molecular Biology 43:3.
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Identification of feature genes for smoking-related lung adenocarcinoma based on gene expression profile data

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Identification of feature genes for smoking-related lung adenocarcinoma based on gene expression profile data

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