The main feature of this update is the ability to simulate tumors under targeted therapy.
New functionality:
simulateTumor() have been added. After max_pop is reached, therapy is applied and all non-resistants cells die. Then the tumor grows to recurrent_size. To control the probability that a new mutation confers treatment resistance, use the resistance_prob parameter.This update introduces new functionality for the tumor growth simulator.
New functionality:
simulateTumor() has been added. This allows the user to specify a custom disease model for more control over the kinds of mutations that can occur. See vignette for more details.bulkSample() and randomBulkSamples() to better simulate real sequencing data.Changes to existing functionality:
alleles data frame which was returned by simulateTumor() has been renamed to genotypes to be biologically correct.Bug fixes:
visualizeTumor, there was an issue where suggested package rgl was not being used conditionally.Internal changes:
C++ code has been completely refactored for organization.This patch contains bug fixes. In addition, the dependence on R 4.0.0 is switched to 3.6.0, so that users on the old release can use the package.
Bug fixes:
pow() in "post_processing.h" causes a compilation error on Solaris.Initial submission to CRAN.