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Screening of core genes and prediction of traditional Chinese medicine components for bovine respiratory disease based on machine learning and reverse network pharmacology
Screening of core genes and prediction of traditional Chinese medicine components for bovine respiratory disease based on machine learning and reverse network pharmacology
- “This study integrates multiple omics analysis methods such as bioinformatics, machine learning, and network pharmacology to explore and analyze the molecular regulatory network of BRD and potential targets for traditional Chinese medicine intervention. It provides a new molecular perspective for the pathogenesis of bovine respiratory diseases and a theoretical basis for the development of targeted drugs and the formulation of traditional Chinese medicine prevention and treatment strategies in the future.”
- Journal of China Agricultural University Vol. 31, Issue 7, Pages: 203-211(2026)
DOI: 10.11841/j.issn.1007-4333.2026.07.17
Accepted:02 March 2026
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Related Author
DING Xiaoying
CAI Yanrong
HUANG Daye
WANG Beibei
YUAN Qinfeng
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LIU Hong
CAO Chunxia
Related Institution
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