Machine learning and single cell RNA sequencing analysis identifies regeneration-related hepatocytes and highlights a Birc5-related model for identifying cell proliferative ability-Reference-Cited by-同舟云学术

Machine learning and single cell RNA sequencing analysis identifies regeneration-related hepatocytes and highlights a Birc5-related model for identifying cell proliferative ability

Published:2023-06-14 Issue: Volume: Page:
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Du Yuan¹,Jian Shuqin²,Wang Xicheng³⁴⁵,Yang Chao³⁴⁵,Qiu Hua¹,Fang Kang¹,Yan Yehong¹,Shi Jun¹⁶,Li Jianfeng¹

Affiliation:

1. Department of General Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China

2. Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China

3. Institute for Regenerative Medicine, Shanghai East Hospital, School of Life Sciences and Technology, Tongji University School of Medicine, Shanghai, China

4. Shanghai Engineering Research Center of Stem Cells Translational Medicine, Shanghai, China

5. Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, China

6. Department of General Surgery, Ji’an Hospital of Shanghai East Hospital, School of Medicine, Tongji University, Ji’an, Jiangxi, China

Publisher

Impact Journals, LLC

Subject

Cell Biology,Aging

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4. Mechanisms and biomarkers of liver regeneration after drug-induced liver injury.;Apte;Adv Pharmacol,2019

5. Single-cell transcriptomics uncovers cellular architecture and developmental trajectories in hepatoblastoma.;Wu;Hepatology,2023

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