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.
