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) doi:10.48550/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.
- Version0.1.4
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release11/15/2021
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Team
Jacob R. Bradley
Timothy I. Cannings
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- Imports9 packages
- Suggests1 package