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.
Package details |
|
---|---|
Author | Lijing Yao, Fu Yao |
Maintainer | The package maintainer <lijing.yao@roche.com> |
License | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license |
Version | 0.1.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.