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. 2015 Dec 16;16:281. doi: 10.1186/s13059-015-0843-6

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© Li et al. 2015

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 5 — The β scores of MAGeCK-MLE on the melanoma activation dataset. a A k-means clustering view of β scores of all conditions from top selected genes (k = 5). Only genes with the highest or lowest 1 % β scores in DMSO or PLX 21-day treatment conditions are shown. b the average β scores of genes in cluster 5 of A (consistently positive selected genes in both zeocin and puromycin conditions), as well as the β scores of these genes in melanoma knockout dataset. Similar to (a), the k-means clustering algorithm is applied to the selected genes (k = 4)