A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma

• Váldodahkkit: Yicheng Liang (Dahkki), Binghua Tan (Dahkki), Minjun Du (Dahkki), Bing Wang (Dahkki), Yushun Gao (Dahkki), Minghui Wang (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Frontiers Media S.A., 2023-06-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

Background: The tricarboxylic acid cycle (TCA cycle) is an important metabolic pathway and closely related to tumor development. However, its role in the development of esophageal squamous cell carcinoma (ESCC) has not been fully investigated.Methods: The RNA expression profiles of ESCC samples were...