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. 2016 Jun 6;17(Suppl 5):195. doi: 10.1186/s12859-016-1037-2

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© van der Kloet et al. 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. 5 — Scatter plots of % variance of original variable explained in common parts (left) and % variance of original variable explained in distinctive parts (right) of the mRNA data-set on the top row and of the miRNA on the bottom row between the the different algorithms. DISCO and O2-PLS look very similar. JIVE shows more genes of which more variance is used in the distinctive part which coincides with the increased amount of distinct variance explained by JIVE in comparison to DISCO and O2-PLS