Steinfeld Israel, Navon Roy, Creech Michael L, Yakhini Zohar, Tsalenko Anya
Agilent Laboratories, Tel-Aviv, Israel, Technion - Israel Institute of Technology, Haifa, Israel, Blue Oak Software and Agilent Laboratories, Santa Clara, CA, USA Agilent Laboratories, Tel-Aviv, Israel, Technion - Israel Institute of Technology, Haifa, Israel, Blue Oak Software and Agilent Laboratories, Santa Clara, CA, USA.
Agilent Laboratories, Tel-Aviv, Israel, Technion - Israel Institute of Technology, Haifa, Israel, Blue Oak Software and Agilent Laboratories, Santa Clara, CA, USA.
Bioinformatics. 2015 May 15;31(10):1683-5. doi: 10.1093/bioinformatics/btu853. Epub 2015 Jan 9.
ENViz (Enrichment Analysis and Visualization) is a Cytoscape app that performs joint enrichment analysis of two types of sample matched datasets in the context of systematic annotations. Such datasets may be gene expression or any other high-throughput data collected in the same set of samples. The enrichment analysis is done in the context of pathway information, gene ontology or any custom annotation of the data. The results of the analysis consist of significant associations between profiled elements of one of the datasets to the annotation terms (e.g. miR-19 was associated to the cell-cycle process in breast cancer samples). The results of the enrichment analysis are visualized as an interactive Cytoscape network.
ENViz（富集分析与可视化）是一款Cytoscape应用程序，可在系统注释的背景下对两种类型的样本匹配数据集进行联合富集分析。此类数据集可以是基因表达数据，也可以是在同一组样本中收集的任何其他高通量数据。富集分析是在通路信息、基因本体或数据的任何自定义注释的背景下进行的。分析结果包括一个数据集中的分析元素与注释术语之间的显著关联（例如，miR-19与乳腺癌样本中的细胞周期过程相关）。富集分析的结果可视化为一个交互式的Cytoscape网络。
