Michorlab/ACESO: A Cancer Evolution Simulation Optimizer

ACESO is a multiscale computational framework to explore the evolutionary dynamics of heterogeneous tumor cell populations taking pharmacokinetic and drug interaction effects into account to rationally identify optimum single-agent and combination treatment administration strategies for oncogene-driven cancers.

Getting started

Package details

MaintainerItziar Irurzun-Arana <itzirurzun@gmail.com>
LicenseGPL (>= 2)
Version0.0.0.9000
URL https://github.com/Michorlab/ACESO
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Michorlab/ACESO")
Michorlab/ACESO documentation built on June 4, 2021, 4:57 p.m.