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) ). 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.


Reference manual

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install.packages("ROKET")

1.0.0 by Paul Little, 2 years ago


Browse source code at https://github.com/cran/ROKET


Authors: Paul Little [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, smarter, ggplot2, survival, MiRKAT

Suggests rmarkdown, knitr, reshape2, ggdendro

Linking to Rcpp, RcppArmadillo


See at CRAN