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. 2020 Nov 4;22:122. doi: 10.1186/s13058-020-01355-x

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© The Author(s) 2020

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

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Fig. 1 — SCCA analysis of NR and coregulator expression in normal and malignant breast. Sparse Canonical Correlation Analysis identified strong inter-correlation between a set of nuclear receptors that include MR and 3 retinoic acid receptors and a set of coregulators in pre-menopausal normal. This strong inter-correlation is decreased in post-menopausal normal, pre-menopausal cancer and post-menopausal cancer. Heatmap colours represent pairwise Spearman rank correlations between each gene pair in the different sample cohorts of the TLDA dataset