1. Boulesteix A-L, Janitza S, Kruppa J, König IR (2012) Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics. Wiley Interdisciplinary Rev Data Min Knowl Discov 2(6):493–507
2. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
3. Brochu E, Cora VM, De Freitas N (2010) A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599
4. Cervantes J, Chau AL, Espinoza A T, Castilla JSR (2011) Fast Splice Site Classification Using Support Vector Machines in Imbalanced Data-sets. In Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP), p. 1. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
5. Cooper TA, Wan L, Dreyfuss G (2009) RNA and disease. Cell 136(4):777–793