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. 2020 Oct 19;21:465. doi: 10.1186/s12859-020-03806-w

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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 — Screenshots illustrating different functionalities of the oposSOM browser using the B-cell lymphoma data set as example: a The ‘Function browser’ provides expression patterns of the GO set ‘B cell proliferation’. It reveals high activation of this cellular program in healthy B cells and follicular lymphomas (purple and green bars in profile plot, respectively), whereas Burkitt’s lymphomas show low activation (red bars). Genes of this set accumulate around module ‘K’ in the data landscape (bottom right map). b The expression profile of this module shows significant over-expression in healthy B cells. The table lists all 508 genes belonging to this module. c The KEGG pathway ‘B cell receptor signalling’ shows consistent inactivation in Burkitt’s lymphomas. d The mapping of samples according to their patho-histological phenotype reveals clear separation into three main subtypes with different prognoses. In contrast, stratification according to the patient’s gender results in virtually uniform scattering without differences of their overall survival curves (compare d and e)