Download full results files from Dyscovr, as analyzed in publication. Files contain results for all tested driver and target genes and include raw regression output, including driver mutation coefficient values, t-statistics, standard error, and p-values. If you use these files in your own work, we ask that you please cite:
Geraghty, S., Boyer, J.A., Fazel-Zarandi, M., Arzouni, N., Ryseck, R., McBride, M., Parsons, L.R., Rabinowitz, J., Singh M. (2024). Integrative Computational Framework, Dyscovr, Links Mutated Driver Genes to Expression Dysregulation Across 19 Cancer Types. bioRxiv.

Download pan-cancer synthetic lethality predictions. These files were generated using a regression model applied to data from The Cancer Dependency Map (DepMap) and run across significant driver mutation-target dysregulation pairings identified by Dyscovr. See publication Figure 4 for details.