README.md
In komorowskilab/VisuNet: An interactive tool for network visualization of rule-based models in R
VisuNet
VisuNet is an interactive tool for network visualization of complex rule-based classifiers. VisuNet can be applied to any classification problem and is commonly used with complex health-related decision tasks. The rule networks produced can clearly identify driving genes (metabolites, methylation sites, etc) and their expression levels.
VisuNet is implemented in R and uses the Shiny Gadgets attributes. The tool includes construction, filtration, visualization and customization of networks from rule-based models.
Installation
devtools::install_github("komorowskilab/VisuNet")
See the documentation.
komorowskilab/VisuNet documentation built on Feb. 18, 2022, 8:16 p.m.
R Package Documentation
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VisuNet
VisuNet is an interactive tool for network visualization of complex rule-based classifiers. VisuNet can be applied to any classification problem and is commonly used with complex health-related decision tasks. The rule networks produced can clearly identify driving genes (metabolites, methylation sites, etc) and their expression levels.
VisuNet is implemented in R and uses the Shiny Gadgets attributes. The tool includes construction, filtration, visualization and customization of networks from rule-based models.
Installation
devtools::install_github("komorowskilab/VisuNet")
See the documentation.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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