Download full results files from Dyscovr, as analyzed in PUBLICATION DOI. 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.