netie-package {netie}

Antigen T Cell Interaction Estimation

Description

The Bayesian hierarchical model named antigen-T cell interaction estimation is to estimate the history of the immune pressure on the evolution of the tumor clones.The model is based on the estimation result from Andrew Roth (2014) <doi:10.1038/nmeth.2883>.

Details

The DESCRIPTION file:

Package:	netie
Type:	Package
Title:	Antigen T Cell Interaction Estimation
Version:	1.0
Date:	2021-9-28
Author:	Tianshi Lu
Maintainer:	Tianshi Lu <[e-mail]>
Description:	The Bayesian hierarchical model named antigen-T cell interaction estimation is to estimate the history of the immune pressure on the evolution of the tumor clones.The model is based on the estimation result from Andrew Roth (2014) <doi:10.1038/nmeth.2883>.
Depends:	R (>= 3.6.0)
License:	Apache License

Index of help topics:

input_data              input_data
netie                   Neoantigen-T cell interaction estimation
netie-package           Antigen T Cell Interaction Estimation

~~ An overview of how to use the package, including the most important functions ~~ netie(input_data,sigma_square = 100000,alpha = 10,beta = 2,sigma_p_sqr = 0.1,sigma_a_sqr = NULL,max_iter =1000,multi_sample = T) Please refer to https://github.com/tianshilu/Netie for more details.

Author(s)

Tianshi Lu

Maintainer: Tianshi Lu <[e-mail]>

References

https://github.com/tianshilu/Netie

Examples

data(input_data)
netie(input_data,sigma_square=100000,alpha=10,beta=2,
sigma_p_sqr=0.1,max_iter=1000,multi_sample=TRUE)