Xinzhou Huang published a dataset on 2026-05-28 containing results from a study on perfluorooctanoic acid (PFOA) and osteoarthritis. The data includes 15 PFOA-related differentially expressed genes and validation results for three core biomarkers (IGFBP1, MKI67, C9). It also contains molecular docking binding energies and diagnostic model performance metrics.
Use Cases
- Validate osteoarthritis diagnostic biomarkers based on IGFBP1, MKI67, and C9 gene expression.
- Study immune cell infiltration patterns in osteoarthritis based on ssGSEA analysis results.
- Analyze molecular binding interactions based on PFOA-protein docking energies (-6.0, -8.5, -7.5 kcal/mol).
- Benchmark machine learning algorithms (Lasso, SVM, Boruta, XGBoost, LightGBM, AdaBoost) for gene selection in toxicology.
Strengths
- Includes qRT-PCR validation results for three core genes in patient samples.
- Diagnostic nomogram achieved an AUC of 0.939 in an external validation set (GSE51588).
- Data integrates results from two public gene expression datasets (GSE114007 and GSE89408).
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is small (37.0 KB), indicating limited scope.
Provenance
- Source
- figshare, author Xinzhou Huang
- Collection Method
- Gene expression data obtained from public databases GSE114007 and GSE89408, analyzed with differential expression, machine learning, and WGCNA.
- Freshness
- Last updated 2026-05-28 05:30:33; freshness should be verified.