GO Enrichment Analysis of Candidate Genes for Diabetic Retinopathy

Gene enrichment analysis results for uric acid-related genes in diabetic retinopathy, created by Haiming Liang and last updated on June 2, 2026. The dataset is 58.5 KB in size and contains results from differential expression analysis, machine learning, and immune infiltration studies. It identifies MMP15 and FOXK1 as potential key genes associated with the condition.

Use Cases

• Validate potential biomarkers for diabetic retinopathy based on identified key genes MMP15 and FOXK1.
• Study immune cell infiltration patterns in diabetic retinopathy based on the analysis of 7 immune cell types.
• Investigate gene regulatory networks based on the 12 transcription factors identified as targeting the key genes.
• Perform pathway enrichment analysis based on the Gene Set Enrichment Analysis (GSEA) results for MMP15 and FOXK1.

Strengths

• Dataset is focused on two specific candidate genes (MMP15 and FOXK1) with clinical validation via RT-qPCR mentioned.
• Analysis includes results from multiple methods: differential expression, machine learning, ROC analysis, and immune infiltration.
• License is clearly defined as CC-BY-4.0, facilitating open reuse.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small (58.5 KB), suggesting limited scope or a summary of results rather than raw data.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

figshare, author Haiming Liang.

Collection Method

Generated from public database transcriptome data using differential expression analysis, machine learning, and subsequent bioinformatics analyses.

Freshness

Last updated 2026-06-02 17:32:43; freshness should be verified.