ICBioMark: ICBioMark: A package for cost-effective design of gene panels...
In ICBioMark: Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers
Description
This package implements the methodology proposed in
'Data-driven design of targeted gene panels for estimating immunotherapy biomarkers',
(Bradley and Cannings, 2021, preprint). It 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.
ICBioMark documentation built on Nov. 15, 2021, 5:09 p.m.
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Description
This package implements the methodology proposed in 'Data-driven design of targeted gene panels for estimating immunotherapy biomarkers', (Bradley and Cannings, 2021, preprint). It 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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