1. Abraham, I., Bartal, Y., Neimany, O. (2006). Advances in metric embedding theory. In STOC ’06: Proceedings of the thirty-eighth annual ACM symposium on Theory of computing (pp. 271–286). New York, NY, USA: ACM.
2. Airoldi, E. M., Blei, D. M., Fienberg, S. E., & Xing, E. P. (2008). Mixed membership stochastic blockmodels. Journal of Machine Learning Research, 9, 1981–2014.
3. Arnau, V., Mars, S., & Marin, I. (2005). Iterative cluster analysis of protein interaction data. Bioinformatics, 21(3), 364–378.
4. Bader, G. D., & Hogue, C. W. (2003). Analyzing yeast protein-protein interaction data obtained from different sources. Nature Biotechnology, 20(10), 991–997.
5. Bader, J., Chaudhuri, A., Rothberg, J., & Chant, J. (2004). Gaining confidence in high-throughput protein interaction networks. Nature Biotechnology, 22(1), 78–85.