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. 2020 Apr 3;13(Suppl 5):49. doi: 10.1186/s12920-020-0688-z

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© The Author(s). 2020

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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Fig. 1 — Workflow of the study. a. Estimation of transcription regulator activities workflow. Co-expression analysis of each regulator with all genes in TCGA breast cancer cohort was performed using GRNBoost2 and regulator binding site information was retrieved from ENCODE (step 1). The intersection of the top 5% of co-expressed genes with regulator target genes was identified (step 2) and used to calculate the regulator activity with a rank-based approach (step 3). b. Overall workflow of the study. Abbreviations: TCGA, The Cancer Genome Atlas; GEO, Gene Expression Omnibus