Extended Data Fig. 1: Analysis of fitness versus predictive performance for the panel of gene knockouts in our study.
a, Distribution of relative growth values after CRISPR gene knockout, median for all n = 341 cell lines. Blue: pooling knockouts of all n = 17670 genes; Pink: pooling n = 469 knockouts of genes selected in our study. Fitness is corrected by the Copy Number Variation by the CERES algorithm. b, For each knockout of a selected gene, predictive performance (y axis) is computed as the Pearson correlation between predicted and actual growth measurements over all n = 341 cell lines. This performance is displayed as a function of the median growth fitness of that knockout (x axis). Growth fitness is binned according to percentiles, for example the first bin (0-10%) represents the top 10% of selected genes with the strongest median effects on growth. The distribution of predictive performance for each bin is shown with a violin plot. Error bars represent 95% confidence interval.
