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. 2021 Feb 1;22:96. doi: 10.1186/s12864-021-07370-2

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

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Fig. 1 — Comparison of GCSscore and Sscore methods. a Results for original Sscore algorithm (y-axis) and the GCSscore algorithm, using the PM-MM background correction method (x-axis). b Comparison of total averaged GCSscores (AvgSs) on the 3′ IVT array, Mouse Genome 430 2.0 assay, for the GC-based background correction (x-axis) and the legacy PM-MM method (y-axis). The red lines denote the thresholds for significant Sscores (|AvgSs| > 1.8)