OMEN data set: Tokheim pancancer data set with genome-wide interaction network
<p>OMEN is a Network-based Driver Gene Identification method that exploits Mutual Exclusivity.<br> This repository stores the data used in a pancancer experiment showcasing this method.</p> <p>It consists of</p> <p>- [tokheim_pancancer_somatic_CADD.pl] A file containing CADD probabilities for gene-patient pairs (derived from the pancancer data set in Tokheim, Collin J., et al. "Evaluating the evaluation of cancer driver genes." <em>Proceedings of the National Academy of Sciences</em> 113.50 (2016): 14330-14335.) formatted to be used by OMEN.<br> - [tokheim_pancancer_somatic_coverage_ranks.pl] A file containing gene coverage data (derived from the CADD data) formatted to be used by OMEN.<br> - [network.pl] A file containing a genome-wide interaction network consisting of high quality metabolic interactions from Recon X and literature curated interactions from Intact. Recon X and Intact data was acquired from Pathway Commons version 8.<br> The resulting network covers 7901 samples, and contains 15.694 nodes and 178.051 edges.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4