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. 2018 Mar 28;9:509. doi: 10.3389/fmicb.2018.00509

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Copyright © 2018 Zhai, Kim, Knox, Twigg, Zhou and Zhou.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Scenario 3: Estimated g-Measure of both VC-lasso and group-lasso under different UniFrac distance kernels in a cross-sectional design. Five different kernels, K_UW, K_VAW, K₀, K_0.5andK_W, and two methods, VC-lasso and group-lasso, are displayed in a cross-sectional design. Four effect strengths, 1 (A), 5 (B), 25 (C), and 100 (D) are shown. There are 5 non-zero variance components, sample size is n = 50, and $σ_{d}^{2} = 0$ .