Identifying In Vitro Cultured Human Hepatocytes Markers with Machine Learning Methods Based on Single-Cell RNA-Seq Data

Cell transplantation is an effective method for compensating for the loss of liver function and improve patient survival. However, given that hepatocytes cultivated in vitro have diverse developmental processes and physiological features, obtaining hepatocytes that can properly function in vivo is d...

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Autores principales:	ZhanDong Li, FeiMing Huang, Lei Chen, Tao Huang, Yu-Dong Cai
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2022-05-01
Colección:	Frontiers in Bioengineering and Biotechnology
Materias:	hepatocytes single cell RNA sequencing machine learning boruta max-relevance min-redundancy and random forest
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fbioe.2022.916309/full
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