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OMEN is a Network-based Driver Gene Identification method that exploits Mutual Exclusivity. This repository stores the data used in a pancancer experiment showcasing this method. It consists of - [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." Proceedings of the National Academy of Sciences 113.50 (2016): 14330-14335.) formatted to be used by OMEN. - [tokheim_pancancer_somatic_coverage_ranks.pl] A file containing gene coverage data (derived from the CADD data) formatted to be used by OMEN. - [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. The resulting network covers 7901 samples, and contains 15.694 nodes and 178.051 edges.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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