Interdisciplinary Centre for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107, Leipzig, Germany.
Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, 7 Hasratyan str, 0014, Yerevan, Armenia.
BMC Bioinformatics. 2020 Oct 19;21(1):465. doi: 10.1186/s12859-020-03806-w.
oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization.
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.
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 .
opossSOM 是一个综合性的、基于机器学习的开源数据分析软件，结合了多样性分析、生物标志物选择、功能挖掘和可视化等功能。
这些功能现在作为一个交互式的网络浏览器应用程序提供，供更广泛的对从经过 oposSOM 预处理的高通量组学数据集提取详细信息感兴趣的用户使用。它支持对单个基因和基因集谱、分子“画像景观”、相关表型多样性以及信号通路激活模式进行交互式浏览。
opossSOM-Browser 可在 www.izbi.uni-leipzig.de/opossom-browser 上提供五个转录组数据集（黑色素瘤、B 细胞淋巴瘤、神经胶质瘤）和外周血（败血症和健康个体）的交互式数据浏览功能。
