Gene Ontology Enrichment Analysis for Lung Cancer Genes

A 9.5 KB Excel file containing statistical evidence for the association between proteins and Gene Ontology networks. The dataset includes P-values highlighting key roles of GO keywords and pathways in biological processes, cellular components, and molecular functions. It was authored by Mst. Farjana Yasmin and last updated on March 19, 2026.

Use Cases

• Identify statistically significant biological processes based on P-values for gene associations.
• Analyze enrichment of molecular functions linked to genes of importance identified in the study.
• Investigate key Gene Ontology pathways underlying molecular processes in lung cancer.
• Validate associations between common proteins and Gene Ontology terms using statistical evidence.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, making it lightweight for quick analysis.
• Platform tags indicate a focus on lung cancer and idiopathic pulmonary fibrosis, providing a specific disease context.

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 17:35:03; freshness should be verified.