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. 2022 Mar 31;23:114. doi: 10.1186/s12859-022-04641-x

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© The Author(s) 2022

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. 2 — Characterisation of Stage II/III CRC (GSE103479) dataset in classifieR^c. a Histogram depicting frequency of patients within each CRIS subgroup. b Interactive barplot showing TP53 transcription factor activity across all samples in the dataset. c Histogram showing the distribution of TP53 activity across all samples. d Dot plot visualising the correlation between TP53 and JUN transcription factor activity. e Box and whisker plot showing distribution of the MCP-counter score for Fibroblasts amongst the CMS subgroups. f Box and whisker plot showing distribution of the DoRothEA TF-activity score for GLI2 amongst the CRIS subgroups