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

Abstract:

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 .

Health Atlas ID: 85QGPUJ96D-8

DOI: 10.1186/s12859-020-03806-w

Projects: LHA - Leipzig Health Atlas

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

Authors: Henry Loeffler-Wirth, Jasmin Reikowski, Siras Hakobyan, Jonas Wagner, Hans Binder

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Loeffler-Wirth, H., Reikowski, J., Hakobyan, S., Wagner, J., & Binder, H. (2020). oposSOM-Browser: an interactive tool to explore omics data landscapes in health science. BMC Bioinformatics, 21(1). http://doi.org/10.1186/s12859-020-03806-w
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Created: 3rd Feb 2021 at 16:51

Last updated: 3rd Feb 2021 at 16:53

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