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.
|Author||Jacob R. Bradley [aut, cre] (<https://orcid.org/0000-0003-1616-4969>), Timothy I. Cannings [aut] (<https://orcid.org/0000-0002-2111-4168>)|
|Maintainer||Jacob R. Bradley <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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