Tissue-specific pathway activities: A retrospective analysis in COVID-19 patients. Pham, et al., Frontiers in immunology doi: 10.3389/fimmu.2022.963357.
Cytoscape cited!
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Tissue-specific pathway activities: A retrospective analysis in COVID-19 patients. Pham, et al., Frontiers in immunology doi: 10.3389/fimmu.2022.963357.
Cytoscape cited!
Gene Ontology Groups and Signaling Pathways Regulating the Process of Avian Satellite Cell Differentiation. Golkar-Narenji, et al., Genes doi: 10.3390/genes13020242.
Assessing the Contribution of Relative Macrophage Frequencies to Subcutaneous Adipose Tissue. Kalafati et al, Front Nutr. doi: 10.3389/fnut.2021.675935.
Cytoscape cited!
RCy3: Network biology using Cytoscape from within R. Gustavsen et al, Version 3. F1000Res. 2019; 8: 1774.
Bioconductor_RCy3_the_new_RCytoscape - Update RCytoscape to work for Cytoscape 3.0 and higher using CyREST
cy-rest-R - Example R script to use Cytoscape via RESTful API module.
Cytoscape is a well-known bioinformatics tool for displaying and exploring biological networks. R is a powerful programming language and environment for statistical and exploratory data analysis. RCy3 uses CyREST to communicate between R and Cy- toscape, allowing Bioconductor graphs to be viewed, explored and manipulated with the Cytoscape point-and-click visual interface. Thus, via RCy3, these two quite different, quite useful bioinformatics software environments are connected, mutually enhancing each other, providing new possibilities for exploring biological data.