ROKET: Optimal Transport-Based Kernel Regression

Perform optimal transport on somatic point mutations and kernel regression hypothesis testing by integrating pathway level similarities at the gene level (Little et al. (2023) <doi:10.1111/biom.13769>). The software implements balanced and unbalanced optimal transport and omnibus tests with 'C++' across a set of tumor samples and allows for multi-threading to decrease computational runtime.

Version: 1.0.0
Imports: Rcpp, smarter, ggplot2, survival, MiRKAT
LinkingTo: Rcpp, RcppArmadillo
Suggests: rmarkdown, knitr, reshape2, ggdendro
Published: 2025-03-06
DOI: 10.32614/CRAN.package.ROKET
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: ROKET citation info
CRAN checks: ROKET results

Documentation:

Reference manual: ROKET.pdf
Vignettes: test (source, R code)

Downloads:

Package source: ROKET_1.0.0.tar.gz
Windows binaries: r-devel: ROKET_1.0.0.zip, r-release: not available, r-oldrel: ROKET_1.0.0.zip
macOS binaries: r-devel (arm64): ROKET_1.0.0.tgz, r-release (arm64): ROKET_1.0.0.tgz, r-oldrel (arm64): ROKET_1.0.0.tgz, r-devel (x86_64): ROKET_1.0.0.tgz, r-release (x86_64): ROKET_1.0.0.tgz, r-oldrel (x86_64): ROKET_1.0.0.tgz

Linking:

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