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Background: oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization. Results: These functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular 'portrait landscapes', of associated phenotype diversity, and signalling pathway activation patterns. Conclusion: The oposSOM-Browser makes available interactive data browsing for five transcriptome data sets of cancer (melanomas, B-cell lymphomas, gliomas) and of peripheral blood (sepsis and healthy individuals) at www.izbi.uni-leipzig.de/opossom-browser .
DOI: 10.1186/s12859-020-03806-w
Projects: LHA - Leipzig Health Atlas, oBIG - omics Bioinformatics for Health
Publication type: Journal article
Journal: BMC Bioinformatics
Human Diseases: No Human Disease specified
Citation: BMC Bioinformatics 21(1),465
Date Published: 1st Dec 2020
Registered Mode: by DOI
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Created: 3rd Feb 2021 at 16:51
Last updated: 7th Dec 2021 at 17:58
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