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ICBioMark  

Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers
View on CRAN: Click here


Download and install ICBioMark package within the R console
Install from CRAN:
install.packages("ICBioMark")

Install from Github:
library("remotes")
install_github("cran/ICBioMark")

Install by package version:
library("remotes")
install_version("ICBioMark", "0.1.4")



Attach the package and use:
library("ICBioMark")
Maintained by
Jacob R. Bradley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2021-11-15
Description:
Implementation of the methodology proposed in 'Data-driven design of targeted gene panels for estimating immunotherapy biomarkers', Bradley and Cannings (2021) . This package allows the user to fit generative models of mutation from an annotated mutation dataset, and then further to produce tunable linear estimators of exome-wide biomarkers. It also contains functions to simulate mutation annotated format (MAF) data, as well as to analyse the output and performance of models.
How to cite:
Jacob R. Bradley (2021). ICBioMark: Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers. R package version 0.1.4, https://cran.r-project.org/web/packages/ICBioMark. Accessed 23 Jul. 2026.
Previous versions and publish date:
0.1.0 (2021-02-17 19:40), 0.1.1 (2021-03-05 10:10), 0.1.2 (2021-03-18 17:10), (2026-07-09 08:06)
Other packages that cited ICBioMark R package
View ICBioMark citation profile
Other R packages that ICBioMark depends, imports, suggests or enhances
Complete documentation for ICBioMark
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