Parkinson's Disease Gene Expression and Drug Target Analysis Supplementary Data

Supplementary material from a 2026 study on cardamonin and Parkinson's disease includes figures and tables detailing gene expression data processing, target identification, and enrichment analyses. The dataset, authored by Yezi Xia and shared under a CC-BY-4.0 license, contains 11.2 MB of files in ZIP format. It includes visualizations like UMAP plots and Venn diagrams, alongside tables with functional enrichment results and drug-likeness predictions.

Use Cases

• Benchmark batch effect correction methods based on density and UMAP distribution comparisons.
• Identify potential drug targets for neuroinflammation based on intersection analysis of DEGs and IRGs.
• Perform functional enrichment analysis on gene sets using the provided GO and KEGG results.
• Evaluate drug candidate properties using the predicted drug-likeness and ADMET data.

Strengths

• Includes multiple analytical outputs: 7 supplementary tables and 2 supplementary figures.
• Data is shared under a permissive CC-BY-4.0 license.
• Contains results from cross-referencing five target prediction databases (TargetNet, SymMap, SwissTargetPrediction, HERB 2.0, ITCM).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Yezi Xia.

Collection Method

Generated as supplementary material for a research publication, likely involving analysis of three GEO datasets and multiple bioinformatics databases.

Time Range

Publication date suggests data is current as of 2026.

Freshness

Last updated 2026-04-16 04:57:41; freshness should be verified.

Geography

Geographic coverage of the underlying GEO datasets is not specified.