Comprehensive analysis and reinforcement learning of hypoxic genes based on four machine learning algorithms for estimating the immune landscape, clinical outcomes, and therapeutic implications in patients with lung adenocarcinoma

HIGHLIGHTS

• who: Zhaoyang Sun from the Third Military Medical University, China have published the research work: Comprehensive Analysis and Reinforcement Learning of Hypoxic Genes Based on Four Machine Learning Algorithms for Estimating the Immune Landscape, Clinical Outcomes, and Therapeutic Implications in Patients With Lung Adenocarcinoma, in the Journal: (JOURNAL)
• what: The authors developed a new HAGS (HAGS) by integrating four machine_learning algorithms to predict clinical outcomes and therapeutic responses in LUAD patients, followed by performing internal and external validation for its performance in TCGA and GEO groups, respectively.
• how: In the GEO-II LUAD . . .
  

   

  

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