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. 2015 Sep 17;16(1):195. doi: 10.1186/s13059-015-0762-6

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© Castel et al. 2015

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 — Technical covariates of AE. a Correlation of AE with technical covariates, measured as correlation (R²) between each covariate and the percentage of significant AE sites in a sample (binomial p < 0.05, het-SNPs with ≥30 reads), both before and after scaling to 30 reads. b Correlation of gene expression with technical covariates. As the gene expression statistic we use the median correlation of each sample to all other samples (D-statistic). Correlation to a biological covariate (population) is shown for comparison. Correlations were calculated from all Geuvadis samples by Spearman correlation for continuous covariates, or linear regression for categorical covariates. **p < 0.01, *p < 0.05, after Bonferroni correction. RIN RNA integrity number, Stdev standard deviation