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. 2018 Mar 5;19:81. doi: 10.1186/s12859-018-2085-6

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© The Author(s). 2018

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. 2 — Results of IntLIM applied to NCI-60 data. a Clustering of Spearman correlations of 1009 identified gene-metabolite pairs (16,188 genes and 220 metabolites, 57 cell lines) (FDR adjusted p-value of interaction coefficient < 0.10 with Spearman correlation difference of > 0.5) in “BPO” and leukemia NCI-60 cell lines. Examples of two gene-metabolite associations with significant differences: (b) FSCN1 and malic acid (FDR adj. p-value = 0.082, BPO Spearman Correlation = − 0.75, Leukemia Spearman Correlation = 0.94), (c) DLG4 and leucine (FDR adj. p-value = 0.0399, BPO Spearman Correlation = 0.78, Leukemia Spearman Correlation = − 0.93)