R code for manuscript: ZEB2 as a Central Transcription Factor and Novel Biomarker in Intervertebral Disc Degeneration
Year: 2026
Type: software
Abstract: This archive contains all custom R scripts used for bioinformatic analyses in the manuscript titled ZEB2 as a Central Transcription Factor and Novel Biomarker in Intervertebral Disc Degeneration (Submission ID: 30911fbd-c221-425d-b9c7-2bc408147209) submitted to Scientific Reports.All analyses were performed in R v4.4.0. The code covers the following analytical pipelines:1.Download, integration and preprocessing of public GEO microarray datasets (GSE70362, GSE56081, GSE41883, GSE116726, GSE42611);2.Weighted Gene Co-expression Network Analysis (WGCNA) to identify IDD-related gene modules;3.Differential expression analysis of transcription factors using limma;4.Three machine learning feature selection algorithms (LASSO, SVM-RFE, Random Forest) to screen hub transcription factor ZEB2;5.GO/KEGG functional enrichment, GSEA and GSVA pathway activity quantification via clusterProfiler;6.PPI network construction (GeneMANIA) and ceRNA network prediction;7.ROC diagnostic performance analysis and statistical visualization (ggplot2, pheatmap, pROC).All scripts include annotated parameters, filtering thresholds and plotting codes reproducible for intervertebral disc degeneration transcriptome research.
Authors: Sun, Lei, Xie, Shuihua, Tang, Tang
Language: English
Subfield: Orthopedics and Sports Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7201836831