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. 2016 May 10;9:18. doi: 10.1186/s13040-016-0094-4

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© Li 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. 3 — Simulation results for additive and interaction models using grammatical evolution Bayesian Network (GEBN), grammatical evolution neural network (GENN), logistic regression, and logistic regression with the exact simulated model (MAX). The colors represent different weight indexes (red = 0.9, blue = 0.5, green = 0.1). These weight indices correspond to strength of the simulated effects. a. Main effect model: SNP A (100) b. Main effect model: SNP A (500) c. Main effect model: SNP A, B, C, D (100) d. Main effect model: SNP A, B, C, D (500) e. Interaction model: SNP A < − > B (100) f. Interaction: SNP A < − > B (500) g. Interaction model: SNP A < − > B, C < − > D, W < − > X, Y < − > Z (100) h. Interaction model: SNP A < − > B, C < − > D, W < − > X, Y < − > Z (500)