Extended Data Fig. 7: Comparison of cross-validated models with models generated using the DepMap confounders dataset as a null distribution, including sex, cas9 activity, age, lineage, primary or metastasis, growth pattern, library, screen quality and cancer type.
From: Building a translational cancer dependency map for The Cancer Genome Atlas

(a) Distribution of model performance across expression-only and confounder models. (b) The expression-only gene essentiality models significantly outperformed the models built on confounders, with the 0.2 cross-validation threshold corresponding to p < 0.03 in the confounder distribution (~7000 models).