gomp
The gamma-OMP Feature Selection Algorithm
The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. doi:10.1101/431734. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214–1224. doi:10.1109/TCBB.2020.3029952.
- Version1.0
- R versionR (≥ 4.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release01/20/2025
Team
Michail Tsagris
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- Imports10 packages
- Suggests1 package