morrislab/TrackSigFreq: TrackSig - cancer evolutionary trajectory estimation

TrackSig, to estimate the evolutionary trajectories of signatures of somatic mutational processes. TrackSig uses cancer cell fraction (CCF) corrected by copy number to infer anapproximate order in which the somatic mutations accumulate. TrackSig segments mutation ordering by CCF and fits signature exposures (activities) as a piece-wise constant function of the mutation ordering. TrackSig uses optimal segmentation to find the points of change in signature activities.

Getting started

Package details

AuthorCait Harrigan, implemented with reference to TrackSig by Yulia Rubanova
MaintainerCait Harrigan <cait.harrigan@utoronto.ca>
Licensefile LICENSE
Version0.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("morrislab/TrackSigFreq")
morrislab/TrackSigFreq documentation built on June 29, 2020, 5:13 a.m.