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    Comprehensive Network Analysis of Different Subtypes of Molecular Disorders in Lung Cancer

    Haoliang Zhang1,*, Xiaowei Xing2, Yang Liu1, Shuangli Li1, Weiyuan Li3

    Oncologie, Vol.22, No.2, pp. 107-116, 2020, DOI:10.32604/oncologie.2020.012494

    Abstract Lung cancer is the leading cause of death in cancer patients. Based on a modular and comprehensive analysis method, it is intended to identify their common pathogenesis. We downloaded data and analyzed differences in lung adenocarcinoma samples, lung squamous cell carcinoma samples, and normal samples. Co-expression analysis, enrichment analysis, and hypergeometric testing were used to predict transcription factors, ncRNAs, and retrospective target genes. We get 4596 differentially expressed genes in common differences in high multiples and clustered into 14 modules dysfunction. The 14 genes (including DOK2, COL5A1, and TSPAN8) have the highest connectivity in the dysfunction module and are identified… More >

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