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. 2019 Oct 30;9:15607. doi: 10.1038/s41598-019-51575-1

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© The Author(s) 2019

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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Growing tumors in different tissues and chemical conditions: (a,b) in a homogeneous tissue, represented by a standard grid in the simulations, (c,d) in a tissue with 2% of randomly distributed obstacles, (e) in a tissue with 5% of randomly distributed obstacles. (f) Activator a density in a medium with high density of obstacles. All patterns are scaled by the length unit l₀, square root of the ratio between the cell-cell adhesion density and the friction coefficient times the time unit so l₀ = (t₀χ/τ)^1/2.