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. 2019 Mar;29(3):464–471. doi: 10.1101/gr.238923.118

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© 2019 Allen et al.; Published by Cold Spring Harbor Laboratory Press

This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

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Figure 2. — JACKS outperforms existing approaches. (A) JACKS outperforms existing alternatives at distinguishing essential genes. Percentage of ranking error increase (y-axis) compared to JACKS for five to six alternative analysis methods (x-axis) on five different libraries (panels). Every marker represents one cell line or time point sample; median increase is marked with a dark blue line segment, and estimated distributions are shaded. (B) JACKS identifies more essential genes compared with existing methods. Number of essential genes identified at a 0.1 false-discovery rate (y-axis) for JACKS and alternative analysis methods (x-axis). Every marker represents one cell line or time point sample.