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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.
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Package details |
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| 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 <cobrbradley@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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