input_data

one kidney cancer patient with 2 samples

datasets

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>.

Tianshi Lu

netie

Antigen T Cell Interaction Estimation

input_data function

A data frame with 297 observations on the following 7 variables.<dl class="dl-horizontal">
 <dt><code>mutation_id</code></dt><dd>a character vector</dd>
 <dt><code>sample_id</code></dt><dd>a character vector</dd>
 <dt><code>cluster_id</code></dt><dd>a numeric vector</dd>
 <dt><code>cellular_prevalence</code></dt><dd>a numeric vector</dd>
 <dt><code>cellular_prevalence_std</code></dt><dd>a numeric vector</dd>
 <dt><code>variant_allele_frequency</code></dt><dd>a numeric vector</dd>
 <dt><code>neo_load</code></dt><dd>a numeric vector</dd>
 </dl>

Format

input_data — input_data

A data frame with 297 observations on the following 7 variables.<dl class='dl-horizontal'>
 <dt><code>mutation_id</code></dt><dd>a character vector</dd>
 <dt><code>sample_id</code></dt><dd>a character vector</dd>
 <dt><code>cluster_id</code></dt><dd>a numeric vector</dd>
 <dt><code>cellular_prevalence</code></dt><dd>a numeric vector</dd>
 <dt><code>cellular_prevalence_std</code></dt><dd>a numeric vector</dd>
 <dt><code>variant_allele_frequency</code></dt><dd>a numeric vector</dd>
 <dt><code>neo_load</code></dt><dd>a numeric vector</dd>
 </dl>

input_data: input_data

Description

Usage

Arguments

Format

Examples