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. 2019 May 6;20:88. doi: 10.1186/s13059-019-1681-8

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© The Author(s). 2019

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. 6 — Pairwise expression correlation among pathway genes is improved using imputed data. A pathway gene correlation score (PGCS) measures the increase in expression correlation among pathway genes compared to a set of randomly selected genes of the same size. ΔPGCS is the difference in PGCS between imputed data and un-imputed data. For each data set (dropout or imputed data), a ΔPGCS value is computed for each pathway. Boxplot represents ΔPGCS values for 186 pathways in the IPA database. P value is based on Student’s t test. a Human h1 ES cells data (H1). b Human trophoblast (TB)-like cells data. c Human foreskin fibroblast cells (HFF)