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Multi-level Regulatory Roles of Lactate Metabolism Gene Network in Oral Cancer: Machine Learning Insights

2025-03-20

Abstract excerpt

This study explores the multi-level regulatory roles of the lactate metabolism gene network in oral cancer development using machine learning models. Machine learning analysis shows that lactate-related gene expression profiles can effectively distinguish treatment groups from controls (AUC=0.933), with SLC16A1 and KIF2C being key features. Genes like PFKP, LDHA, LDHB, LDHC, and VCAN are highlighted for their biol...

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Literature Corpus work
5225ba3f-1702-5bca-82e6-4b03d98146de
DOI
10.1101/2025.03.19.25324051
Open publication

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Multi-level Regulatory Roles of Lactate Metabolism Gene Network in Oral Cancer: Machine Learning InsightsDOI 10.1101/2025.03.19.25324051
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