Identification of Aging-related Genes in Diagnosing Idiopathic Pulmonary Fibrosis via Integrating Bioinformatics Analysis and Machine Learning

DEARGs were defined by an adjusted p-value < 0.05 and |log2-fold-change| > 0.5. Heatmaps were generated using the "heatmap" function in R.Gene Ontology, Pathway Enrichment, and PPI Network AnalysisDisease ontology (DO) analysis, Gene ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of DEARGs were performed using the "ClusterProfiler" R package.

The STRING database (string-db.org/) was used to visualize the protein-protein interaction (PPI) network among DEARGs.Identification of Potential Biomarkers in Normal and IPF SamplesBiomarkers for IPF were identified using machine learning algorithms: LASSO, SVM-RFE, and RF. The "glmnet" package in R was used for LASSO, the "e1071" package for SVM-RFE, and the "randomForest" package for RF.