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ABSTRACT: Objective
The aim of this research was to identify the low oxidative stress-related genes expression (L-OS) subtype in patients with periodontitis.Methods
Microarray data (MA) were retrieved from the Gene Expression Omnibus database. The different oxidative stress (OS) subtypes of periodontitis were identified by K-means clustering analysis and gene set variation analysis (GSVA). Differentially expressed genes (DEGs) (|Log fold change (FC)| >1, q < 0.05) amongst the OS subtypes and healthy controls (HCs) were identified by Limma R package. The genomic feature of L-OS subtype and corresponding medicines were evaluated and visualised with Drug-Gene Interaction Database and cytoscape-v3.7.2 software (Pearson correlation coefficient > 0.4). Finally, the LASSO-Logistic regressio
SUBMITTER: Wu Y
PROVIDER: S-EPMC10829343 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature