Gene Pathway Analysis for Lung Cancer Supporting Disease Mechanisms

Mst. Farjana Yasmin published a dataset on figshare in March 2026. The dataset likely contains results from an analysis of shared genes and pathway significance in databases like KEGG, WikiPathways, Reactome, and BioCarta. The 9.5 KB XLS file focuses on pathways implicated in disease development, particularly lung cancer.

Use Cases

• Validate pathway significance in disease mechanisms based on P-values and shared gene counts.
• Identify key biological processes for further study on genetic interactions in pathogenesis.
• Compare pathway enrichment across multiple databases (KEGG, WikiPathways, Reactome, BioCarta).

Strengths

• Dataset is licensed under CC-BY-4.0, allowing open reuse.
• File size is 9.5 KB, indicating a focused and manageable dataset.
• Analysis integrates results from four major pathway databases (KEGG, WikiPathways, Reactome, BioCarta).

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-03-19 17:35:05; freshness should be verified.