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gomp  

The gamma-OMP Feature Selection Algorithm
View on CRAN: Click here


Download and install gomp package within the R console
Install from CRAN:
install.packages("gomp")

Install from Github:
library("remotes")
install_github("cran/gomp")

Install by package version:
library("remotes")
install_version("gomp", "1.0")



Attach the package and use:
library("gomp")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
First Published: 2025-01-20
Latest Update: 2025-01-20
Description:
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>.
How to cite:
Michail Tsagris (2025). gomp: The gamma-OMP Feature Selection Algorithm. R package version 1.0, https://cran.r-project.org/web/packages/gomp. Accessed 17 Feb. 2025.
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