1. Aliferis CF, Tsamardinos I, Statnikov AR, Brown LE (2003) Causal explorer: a causal probabilistic network learning toolkit for biomedical discovery. In: Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS’03), pp 371–376
2. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 57(1): 289–300
3. Benjamini Y, Yekutieli D (2001) The control of the false discovery rate in multiple testing under dependency. Ann Stat 29(4): 1165–1188
4. Bishop YMM, Fienberg SE, Holland PW (1975) Discrete multivariate analyses: theory and practice. MIT Press, Cambridge, MA
5. Cheng J, Greiner R, Kelly J, Bell D, Liu W (2002) Learning Bayesian networks from data: an information-theory based approach. Artif Intell 137(1–2): 43–90