Published July 6, 2016
| Version v1.0
Software
Open
SCODE: Supervised Complex Detection
Authors/Creators
- 1. University of Virginia, Department of Computer Science
Description
This release contains the software implementation of SCODE (Supervised Complex Detection). The software is described in our paper SCODE: A Cytoscape app for supervised complex detection in protein-protein interaction graphs (2016).
This app allows users to search for complexes in weighted graphs using supervised learning on a Bayesian network model. It is based on the algorithm developed by Qi et al (doi: 10.1093/bioinformatics/btn164).
Files
Paper16-SCODE-v1.0.zip
Files
(2.5 MB)
| Name | Size | Download all |
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md5:5640d1df4ff54cc55969f975d53c8078
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Additional details
Related works
- Is supplement to
- https://github.com/DataFusion4NetBio/Paper16-SCODE/tree/v1.0 (URL)