Computational flow cytometric analysis to detect epidermal subpopulations in human skin

Computational flow cytometric analysis to detect epidermal subpopulations in human skin

Abstract Background The detection and dissection of epidermal subgroups could lead to an improved understanding of skin homeostasis and wound healing. Flow cytometric analysis provides an effective method to detect the surface markers of epidermal cells while producing high-dimensional data files. M...

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Bibliographic Details
Main Authors: Lidan Zhang, Ying Cen, Qiaorong Huang, Huifang Li, Xianming Mo, Wentong Meng, Junjie Chen
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BioMedical Engineering OnLine
Subjects:
Flow cytometry
Heterogeneity
Human epidermis
Machine learning
Online Access:https://doi.org/10.1186/s12938-021-00858-8

Internet

https://doi.org/10.1186/s12938-021-00858-8

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