Bibliography
- Page ID
- 41390
[1] B. Alipanahi, A. Delong, M.T. Weirauch, and B.J. Frey. Predicting the sequence specificities of dna and rna-binding proteins by deep learning. Nature Biotechnology, 33:831–838, 2015.
[2] M. Girvan and M.E.J. Newman. Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12):7821–7826, 2002.
[3] O. Hein, M. Schwind, and W. K ̈onig. Scale-free networks: The impact of fat tailed degree distribution on diffusion and communication processes. Wirtschaftsinformatik, 48(4):267–275, 2006.
[4] T.I. Lee, N.J. Rinaldi, F. Robert, D.T. Odom, Z. Bar-Joseph, G.K. Gerber, N.M. Hannett, C.T. Harbison, C.M. Thompson, I. Simon, et al. Transcriptional regulatory networks in saccharomyces cerevisiae. Science Signalling, 298(5594):799, 2002.
[5] N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15:1929–1958, 2014.
[6] S.M. van Dongen. Graph clustering by flow simulation. PhD thesis, University of Utrecht, The Nether- lands, 2000.
[7] U. Von Luxburg. A tutorial on spectral clustering. Statistics and computing, 17(4):395–416, 2007.
[8] Wikipedia. Graph partitioning. en.Wikipedia.org/wiki/Graph_partitioning, 2012.
[9] Wikipedia. Minimum cut. en.Wikipedia.org/wiki/Minimum_cut, 2012.