Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in moyamoya disease

Comprehensive molecular analyses of an autoimmune-related gene predictive model and immune infiltrations using machine learning methods in moyamoya disease

Background: Growing evidence suggests the links between moyamoya disease (MMD) and autoimmune diseases. However, the molecular mechanism from genetic perspective remains unclear. This study aims to clarify the potential roles of autoimmune-related genes (ARGs) in the pathogenesis of MMD.Methods: Two...

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Bibliographic Details
Main Authors: Shifu Li, Ying Han, Qian Zhang, Dong Tang, Jian Li, Ling Weng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Molecular Biosciences
Subjects:
moyamoya disease
machine learning
bioinformatics
immune infiltration
autoimmune-related genes
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.991425/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2022.991425/full

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