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Fig. 1 | BMC Bioinformatics

Fig. 1

From: oposSOM-Browser: an interactive tool to explore omics data landscapes in health science

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)

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