Machine learning based identification potential feature genes for prediction of drug efficacy in nonalcoholic steatohepatitis animal model

Machine learning based identification potential feature genes for prediction of drug efficacy in nonalcoholic steatohepatitis animal model

Abstract Background Nonalcoholic Steatohepatitis (NASH) results from complex liver conditions involving metabolic, inflammatory, and fibrogenic processes. Despite its burden, there has been a lack of any approved food-and-drug administration therapy up till now. Purpose Utilizing machine learning (M...

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Bibliographic Details
Main Authors: Marwa Matboli, Ibrahim Abdelbaky, Abdelrahman Khaled, Radwa Khaled, Shaimaa Hamady, Laila M. Farid, Mariam B. Abouelkhair, Noha E. El-Attar, Mohamed Farag Fathallah, Manal S. Abd EL Hamid, Gena M. Elmakromy, Marwa Ali
Format: Article
Language:English
Published: BMC 2024-08-01
Series:Lipids in Health and Disease
Subjects:
NASH
MAFLD
Machine learning
Drug efficacy non-coding RNA
Biomarkers
Online Access:https://doi.org/10.1186/s12944-024-02231-9

Internet

https://doi.org/10.1186/s12944-024-02231-9

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