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. 2020 Feb 6;11:752. doi: 10.1038/s41467-020-14620-6

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a Cluster of top hits from the DepMap co-essentiality network. Nodes represent genes and the size of each node is proportional to its average Z-score across all screens. Genes with an absolute average Z-score greater than 2 across BCL2L1 conditions are included in the network. Edges represent Pearson correlations across co-essentiality profiles in DepMap. Edges are drawn between genes with an absolute correlation greater than 0.2. Clustering was done by modularity optimization and a single cluster was chosen for visualization. b Cluster of top hits from the STRING network. Nodes are the same as a. Edges represent combined score in STRING. Edges are drawn between genes with a STRING combined score greater than 0.4. Clustering was done the same as a. c Interactions from DepMap and STRING between the top 20 hits by absolute Z-score. Genes are ordered by absolute average Z-score. Edge cutoffs are the same as a and b.