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Paper16-SCODE: SCODE - Supervised Complex Detection

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Jul 2016Publisher:Zenodo
Authors: Sarah Mohamed; Nick Janus; Yanjun Qi / Jane;
Code repository: https://github.com/DataFusion4NetBio/Paper16-SCODE/tree/v1.0

doi: 10.5281/zenodo.57162 , 10.5281/zenodo.57161 , 10.5281/zenodo.57092

Paper16-SCODE: SCODE - Supervised Complex Detection

Abstract

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).

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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