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Identification of genes associated with cancer progression and prognosis in lung adenocarcinoma: Analyses based on microarray from Oncomine and The Cancer Genome Atlas databases.

Wei LiuSongyun OuyangZhigang ZhouMeng WangTingting WangYu QiChunling ZhaoKuisheng ChenLiping Dai
Published in: Molecular genetics & genomic medicine (2018)
Our findings implicate AGER and CCNB1 might be potential biomarkers for diagnosis and prognosis targets for LUAD.
Keyphrases
  • papillary thyroid
  • squamous cell
  • lymph node metastasis
  • gene expression
  • squamous cell carcinoma
  • young adults
  • genome wide
  • bioinformatics analysis
  • big data
  • deep learning