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. 2018 Sep 13;8:13737. doi: 10.1038/s41598-018-31132-y

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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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Analysis of 16 spinal cord samples based on normalized expression values of 18,167 genes. (A,B) Unsupervised hierarchical clustering. (A) Separation of batch 1 and batch 2; no batch-effect correction. (B) Post-batch-effect correction; batch separation minimized, and clearly separate clustering of MO samples from the other samples. (C) Heatmap showing the pair-wise Spearman’s rank correlation between all samples and clustering of MO samples apart from the other three groups. (D) PCA plot of samples in which MO mice are clustered away from the other three groups.