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. 2017 Aug 19;6(10):1–13. doi: 10.1093/gigascience/gix079

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© The Authors 2017. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 4: — Low- and high-order adjustment of the stochastic feature tables. The best-fit SSM is obtained through optimization against S^0,1 and B^2,3,4 merged feature data sets. (A) The best-fit SSM tree. (B) The target QSM tree. (C) Some projection scatters from S¹. (D) S² projection scatters. (E) B² and B³ projection scatters.