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. 2018 Jul 19;8:10929. doi: 10.1038/s41598-018-29086-2

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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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(A) Accuracies of prediction of age using models based on gene expression (pink circle), splicing events (green triangle) and isoform expression (blue square) across tissues. The accuracy is measured by Spearman correlation between predicted and true ages based on cross-validation. (B) The figure shows predicted relative ages for two sets of skin fibroblast cell culture (D1 and D2) across three passages (PX: passage X). (C) The figure shows predicted relative ages of ten pairs (from individuals S1 through S10) of longitudinal skin fibroblast samples. The matched young and old samples were derived from the same individual over time. The y-axis in (B,C) denote normalized predicted age.