Predicted Upstream Regulators of Differentially Expressed Genes in Lung Cancer

A supplementary table from a lung cancer study published on figshare. The dataset lists predicted upstream regulators of genes differentially expressed between two tumor models at a specific time point. It was authored by Natalie K. Horvat and last updated on June 2, 2026.

Use Cases

• Identifying potential therapeutic targets based on predicted upstream regulators.
• Validating computational predictions of gene regulatory networks in lung cancer models.
• Comparing gene expression drivers between different tumor progression states.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File is small (10.4 KB), ensuring quick download and inspection.

Limitations

• Row count and column definitions are unknown, limiting pre-analysis assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely derived from bioinformatics analysis of experimental data.

Freshness

Last updated 2026-06-02 07:20:28; freshness should be verified.