A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma
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...
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| Main Authors: | , , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2023-06-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |