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. 2021 Jun 17;12:3731. doi: 10.1038/s41467-021-24014-x

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© The Author(s) 2021

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. 6 — a–c Application of Perler for early zebrafish embryo data. a LOOCV experiments. The upper and lower panels show the referenced ISH data and predicted gene-expression profiles, respectively. b ROC curve for the LOOCV experiments for the genes shown in a. c Violin plot for the predictive accuracies of Perler for the LOOCV experiments for all genes in the reference ISH data according to ROC score. d–f Application of Perler for mammalian liver lobules. d LOOCV experiments. The left and right panels show the reference ISH data and predicted gene-expression profiles, respectively. All genes from the ISH data are shown. e Violin plot for the predictive accuracies of Perler for the LOOCV experiments for all genes in the reference ISH data. f Prediction of non-landmark genes. In addition to the monotonic gene-expression profiles, non-monotonic gene-expression profiles are observed (Hamp, Igfbp2, Cyp8b1, and Mup3)⁷. g, h Application of Perler for the mouse visual cortex. g Cross-validation (CV) study (tenfold). The upper and lower panels show the referenced ISH data and predicted gene-expression profiles, respectively. h ROC curve for the CV experiments of genes shown in g. i Violin plot representing the predictive accuracies of Perler for the tenfold CV experiments of all genes in the reference ISH dataset according to ROC score. The median ROC score is 0.59. Source data are provided in a Source data file.