Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart failure based on machine learning

Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart failure based on machine learning

Background: Circadian rhythms play a key role in the failing heart, but the exact molecular mechanisms linking changes in the expression of circadian rhythm-related genes to heart failure (HF) remain unclear. Methods: By intersecting differentially expressed genes (DEGs) between normal and HF sample...

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Bibliographic Details
Main Authors: Xuefu Wang, Jin Rao, Li Zhang, Xuwen Liu, Yufeng Zhang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Heart failure
Circadian rhythm
Machine learning
Immune infiltration
Unsupervised clustering
Bioinformatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024030809

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http://www.sciencedirect.com/science/article/pii/S2405844024030809

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