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. 2018 Apr 17;9:1516. doi: 10.1038/s41467-018-03933-2

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© The Author(s) 2018

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Workflow of ACTION cell-to-cell similarity metric. Computation of the ACTION metric consists of three main steps. i The effect of universally expressed genes is masked out to construct an adjusted transcriptional profile. ii A gene expression specificity vector is computed that assigns weights to each gene based on its informativeness. iii The ACTION kernel is computed as the weighted dot product of adjusted transcriptional vectors