ICBioMark: Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers

Implementation of the methodology proposed in 'Data-driven design of targeted gene panels for estimating immunotherapy biomarkers', Bradley and Cannings (2021) <arXiv:2102.04296>. 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.

Getting started

Package details

AuthorJacob R. Bradley [aut, cre] (<https://orcid.org/0000-0003-1616-4969>), Timothy I. Cannings [aut] (<https://orcid.org/0000-0002-2111-4168>)
MaintainerJacob R. Bradley <cobrbradley@gmail.com>
LicenseMIT + file LICENSE
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ICBioMark")

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ICBioMark documentation built on March 18, 2021, 5:08 p.m.