Accurate Machine Learning Model to Diagnose Chronic Autoimmune Diseases Utilizing Information From B Cells and Monocytes

Accurate Machine Learning Model to Diagnose Chronic Autoimmune Diseases Utilizing Information From B Cells and Monocytes

Heterogeneity and limited comprehension of chronic autoimmune disease pathophysiology cause accurate diagnosis a challenging process. With the increasing resources of single-cell sequencing data, a reasonable way could be found to address this issue. In our study, with the use of large-scale public...

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Bibliographic Details
Main Authors: Yuanchen Ma, Jieying Chen, Tao Wang, Liting Zhang, Xinhao Xu, Yuxuan Qiu, Andy Peng Xiang, Weijun Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Immunology
Subjects:
chronic autoimmune disease
accurate diagnosis
machine learning (ML)
scRNA-seq
cellular cross talking
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.870531/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.870531/full

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