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. 2017 Mar 15;10:15. doi: 10.1186/s12920-017-0255-4

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© The Author(s). 2017

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. 2 — The cellularity estimation results of different methods on a simulated sample. Cellularity estimations of different methods on a simulated sample are compared with the ground truth. The predefined cellularity of all segments in simulation study are treated as underlying truth. CLImAT-HET correctly identify three clonal populations and infer their cellularity, meanwhile assign correct clonal cluster to 85% of all segments