bioinform/ecTMB: Esitmation and Classification of TMB

ecTMB is a powerful and flexible statistical framework for TMB estimation and classification. It uses an explicit background mutation mdoel for more robust and consistent TMB prediction. The backgournd mutation model takes account of unknown as well as known mutational heterogeneous factors, including tri-nucleotide context, sample mutational burden, gene expression level and replication timing by utilization of a Bayesian framework. The discovery of three TMB-based subtypes, including one novel subtype TMB-extreme, enable ecTMB to classify samples to biological and clinically relavent TMB subtypes.

Getting started

Package details

AuthorLijing Yao, Fu Yao
MaintainerThe package maintainer <lijing.yao@roche.com>
LicenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
Version0.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("bioinform/ecTMB")
bioinform/ecTMB documentation built on Aug. 29, 2021, 6:17 p.m.