If you use ReBATE or the MultiSURF algorithm in a scientific publication, please consider citing the following paper (currently available as a pre-print in arXiv):

Urbanowicz, Ryan J., Randal S. Olson, Peter Schmitt, Melissa Meeker, and Jason H. Moore. "Benchmarking relief-based feature selection methods." arXiv preprint arXiv:1711.08477 (2017).

Alternatively a complete review of Relief-based algorithms is available at:

Urbanowicz, Ryan J., Melissa Meeker, William LaCava, Randal S. Olson, and Jason H. Moore. "Relief-based feature selection: introduction and review." arXiv preprint arXiv:1711.08421 (2017).

To cite the original Relief paper:

Kira, Kenji, and Larry A. Rendell. "A practical approach to feature selection." In Machine Learning Proceedings 1992, pp. 249-256. 1992.

To cite the original ReliefF paper:

Kononenko, Igor. "Estimating attributes: analysis and extensions of RELIEF." In European conference on machine learning, pp. 171-182. Springer, Berlin, Heidelberg, 1994.

To cite the original SURF paper:

Greene, Casey S., Nadia M. Penrod, Jeff Kiralis, and Jason H. Moore. "Spatially uniform relieff (SURF) for computationally-efficient filtering of gene-gene interactions." BioData mining 2, no. 1 (2009): 5.

To cite the original SURF* paper:

Greene, Casey S., Daniel S. Himmelstein, Jeff Kiralis, and Jason H. Moore. "The informative extremes: using both nearest and farthest individuals can improve relief algorithms in the domain of human genetics." In European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, pp. 182-193. Springer, Berlin, Heidelberg, 2010.

To cite the original MultiSURF* paper:

Granizo-Mackenzie, Delaney, and Jason H. Moore. "Multiple threshold spatially uniform relieff for the genetic analysis of complex human diseases." In European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, pp. 1-10. Springer, Berlin, Heidelberg, 2013.

To cite the original TuRF paper:

Moore, Jason H., and Bill C. White. "Tuning ReliefF for genome-wide genetic analysis." In European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, pp. 166-175. Springer, Berlin, Heidelberg, 2007.