pllittle/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.

Getting started

Package details

Maintainer
LicenseGPL (>= 3)
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pllittle/ROKET")
pllittle/ROKET documentation built on March 5, 2025, 1:42 a.m.