Characterize known targets in signaling networks using topological features A network-based approach that characterizes known targets in signaling networks using topological features. TENET first computes a set of topological features and then leverages a support vector machine-based approach to identify predictive topological features that characterizes known targets. A characterization model is generated and it specifies which topological features are important for discriminating the targets and how these features should be combined to quantify the likelihood of a node being a target.
Instructions:
- Download and save all files you see here to a folder called "network_lib" in the C directory "C:"
- Unzip the follwing files: CuiNetworkData.zip, svmTraining.zip and timeseries.zip
- Follow the TENET User Guide.pdf for rest of installation and usage instructions.
Location of .jar:
- TENET.jar is found in the release (https://github.com/trove2017/Tenet/releases)