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. 2019 Jun 6;20(Suppl 11):275. doi: 10.1186/s12859-019-2817-2

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© The Author(s). 2019

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 — Schematic representation showing generation of simulated dataset using SCEED. (Left to right) A blank matrix is provided as an input where initially (1) mean expression of all the genes and (2) number of marker genes at a desired foldchange cutoff are simulated, followed by adjustment of (3) biological and (4) technical noises. Finally, (5) single cell count is simulated and provided as an output matrix