If you use scikit-rebate or the MultiSURF algorithm in a scientific publication, please consider citing the following paper:

Urbanowicz, Ryan J., Randal S. Olson, Peter Schmitt, Melissa Meeker, and Jason H. Moore. "Benchmarking relief-based feature selection methods for bioinformatics data mining." Journal of Biomedical Informatics, 85:168–188, 2018.

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." Journal of Biomedical Informatics, 85:189–203, 2018.

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 SWRF* paper:

Stokes, Matthew E., and Shyam Visweswaran. "Application of a spatially-weighted relief algorithm for ranking genetic predictors of disease." BioData Mining, 5:20, 2012.

To cite the original μ-Relief paper:

Aggarwal, Nitisha, Unmesh Shukla, G. J. Saxena, et al. "Mean based relief: An improved feature selection method based on relieff." Applied Intelligence, 53:23004–23028, 2023.

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.