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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.html ,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:ROKET_1.0.0.zip, r-oldrel:ROKET_1.0.0.zip
macOS binaries: r-release (arm64):ROKET_1.0.0.tgz, r-oldrel (arm64):ROKET_1.0.0.tgz, r-release (x86_64):ROKET_1.0.0.tgz, r-oldrel (x86_64):ROKET_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ROKETto link to this page.


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