Machine Learning-Based Identification of Potentially Novel Non-Alcoholic Fatty Liver Disease Biomarkers

Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease that presents a great challenge for treatment and prevention.. This study aims to implement a machine learning approach that employs such datasets to identify potential biomarker targets. We developed a pipeline to identify potenti...

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Detalles Bibliográficos
Autores principales: Shafiha, Roshan, Bahcivanci, Basak, Gkoutos, Georgios V., Acharjee, Animesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615894/
https://www.ncbi.nlm.nih.gov/pubmed/34829865
http://dx.doi.org/10.3390/biomedicines9111636

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615894/
https://www.ncbi.nlm.nih.gov/pubmed/34829865
http://dx.doi.org/10.3390/biomedicines9111636

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