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. 2016 Oct 27;13:31. doi: 10.1186/s12014-016-9132-y

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© The Author(s) 2016

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. 1 — Gaussian graphical model empirical network for O-PLS-DA selected top 10% discriminants between normal and tumor tissues. Edge color and width denote the direction and magnitude of partial correlations (pFDR ≤ 0.05). Node color displays the direction of the change in tumor relative to non-malignant tissue (green, decrease; red, increase; pFDR ≤ 0.05). Node inset box and whisker plots summarize differences in spectral measurements between tumor and non-malignant tissue