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. 2016 Jan 13;135:21–36. doi: 10.1007/s12064-015-0220-8

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© The Author(s) 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.

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Fig. 6 — Absolute gene expression scatter plots of the gene SPAC1002.02 with various other genes and the corresponding proportionality coefficients. The red lines are fits of the slope (through the origin, corresponding to $β = 1$ ), where the slope is estimated by $\sqrt{var (\exp (A_{j})) / var (\exp (A_{i}))}$ . In the case of negative coefficients, this number is divided by exp $(A_{i})$ instead of being multiplied by exp $(A_{i})$ . Note that the goodness of fit measures $β$ and r determining the size of the coefficient are for the logged data, which is not shown here (colour figure online)