CNetA: Network alignment by combining biological and topological features

@article{Huang2012CNetANA,
  title={CNetA: Network alignment by combining biological and topological features},
  author={Qiang Huang and Ling-Yun Wu and Xiang-Sun Zhang},
  journal={2012 IEEE 6th International Conference on Systems Biology (ISB)},
  year={2012},
  pages={220-225}
}
Due to the rapid progress of high-throughput techniques in past decade, a lot of biomolecular networks are constructed and collected in various databases. However, the biological functional annotations to networks do not keep up with the pace. Network alignment is a fundamental and important bioinformatics approach for predicting functional annotations and discovering conserved functional modules. Although many methods were developed to address the network alignment problem, it is not solved… CONTINUE READING