Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors

Abstract Background Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long been a central focus in stem cell researc...

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Bibliographic Details
Main Authors: Shen Wang, Jianzhong Han, Jingru Huang, Khayrul Islam, Yuheng Shi, Yuyuan Zhou, Dongwook Kim, Jane Zhou, Zhaorui Lian, Yaling Liu, Jian Huang
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Stem Cell Research & Therapy
Subjects:
Hematopoietic stem cells
Multipotent progenitors
Deep learning
Evi1 protein
α-Catulin protein
GFP
Online Access:https://doi.org/10.1186/s13287-024-03682-8

Internet

https://doi.org/10.1186/s13287-024-03682-8

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