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. 2017 Dec 28;10:81. doi: 10.1186/s12920-017-0317-7

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© The Author(s). 2017

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 — Examples illustrating the new feature selection step. a The fold change in both platforms was larger than the within-phenotype variability and the correlation coefficient between platforms (ρ _true) was high; b when phenotypic labels in part A were randomly resampled, the fold change in both platforms became negligible as compared to the within-phenotype variability and the correlation coefficient between platforms (ρ _random) became low. c The fold change in both platforms was smaller than the within-phenotype variability and the correlation coefficient between platforms (ρ _true) was low; d when phenotypic labels in part C were randomly resampled, the correlation coefficient (ρ _random) was low

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