Skip to main content
Fig. 2 | Genome Medicine

Fig. 2

From: Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells

Fig. 2

Reproducibility of the genome-wide screens at the level of shRNAs, on-target genes, and off-target seeds. Comparison of rank correlation (ρ) between the two screens over the data from 17 high-quality cell lines, where each panel compares the between-study correlation of shRNA essentiality scores (shES, x-axis) against the correlation calculated based on a RIGER-based gene essentiality scores (geneES), b ATARiS-based geneES, c GARP-based geneES, and d seed essentiality scores (SeedES), calculated with shRNA family size larger than 5. The on-target gene essentiality scores (a–c) did not improve the consistency beyond the shES-level comparison, whereas accounting for off-target effects based on SeedES improved the consistency among the matching cell lines (d). Statistical significance of correlation differences was assessed with paired t-test

Back to article page

Genome Medicine

ISSN: 1756-994X

Contact us