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Identification of effective diagnostic genes and immune cell infiltration characteristics in small cell lung cancer by integrating bioinformatics analysis and machine learning algorithms.

Yinyi ChenKexin HanYanzhao LiuQunxia WangYang WuSimei ChenJianlin YuYi LuoLiming Tan
Published in: Saudi medical journal (2024)
, that were related to immune cell infiltration by integrating bioinformatics analysis and ML algorithms. These genes could serve as potential diagnostic biomarkers and provide possible molecular targets for immunotherapy in SCLC.
Keyphrases
  • bioinformatics analysis
  • machine learning
  • small cell lung cancer
  • artificial intelligence
  • deep learning
  • big data
  • brain metastases
  • gene expression
  • risk assessment
  • dna methylation
  • climate change
  • genome wide