Aishwarya Iyer's dataset contains enrichment analysis results for 14 key modules related to Porto-sinusoidal vascular disease (PSVD). The 38.3 KB CSV file, last updated in May 2026, was generated using gene set enrichment analysis (GSEA) and weighted gene coexpression network analysis (WGCNA). The data highlights dysregulated pathways, including immune signaling and suppressed metabolic programs, in this rare liver disease.
Use Cases
- Prioritizing candidate genes for PSVD based on module ranking approaches described in the study.
- Analyzing interconnectivity among enriched biological processes using network visualization tools.
- Investigating the antagonistic interplay between immune signaling and metabolic pathways in liver disease.
- Cross-referencing findings on ribosomal protein and ATP synthase subunit alterations with previous research.
Strengths
- Data is licensed under CC-BY-4.0, permitting broad reuse with attribution.
- Analysis is based on specific methodologies: GSEA and WGCNA, as stated in the description.
- Focuses on a defined set of 14 key modules for a rare disease, providing a targeted resource.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale analyses.
- The dataset is small at 38.3 KB, indicating limited scope and likely a summary or processed output.
Provenance
- Source
- Aishwarya Iyer via figshare.
- Collection Method
- Generated via gene set enrichment analysis (GSEA) and weighted gene coexpression network analysis (WGCNA) applied to omics data.
- Freshness
- Last updated 2026-05-29 17:30:52; freshness should be verified.