# tigeR

**Repository Path**: joyeric_admin_admin/tigeR

## Basic Information

- **Project Name**: tigeR
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-04-15
- **Last Updated**: 2026-04-15

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# tigeR
tigeR is an R package designed for exploring biomarkers and constructing predictive
models for immunotherapy response via built-in or custom immunotherapy gene
expression data.

### 1. Introduction
- Built-in datasets: 1060 samples with immunotherapy clinical information from 11 melanoma datasets, 3 lung cancer datasets, 2 kidney cancer datasets, 1 gastric cancer dataset, 1 low-grade glioma dataset, 1 glioblastoma dataset and 1 head and neck squamous cell cancer dataset (all organized into R language ‘SummarizedExperiment’ objects).

- 23 immunotherapy response-related biomarkers from literature, multiple methods for analysis and visualization.

- 10 open source tumor microenvironment deconvolution methods including CIBERSORT, TIMER, ESTIMATE, IPS, xCell, EPIC, ConsensusTME, ABIS, quanTIseq, and MCPCounter. Several downstream method for analysis and visualization.

- 7 machine learning method for multi-modal prediction model construction and testing.

<p align="center">
<img src="https://raw.githubusercontent.com/Chengxugorilla/tigeR/gh-pages/figs/Figure 1.svg" width="80%">
</p>
<p align="center"><b>Overall design of tigeR</b></p>

### 2. Installation
```
packages <- c("BiocManager", "devtools", "ggplot2", "pROC", "RobustRankAggreg")
for (package in packages) {
  if (!require(package, character.only = TRUE)) {
    install.packages(package)
  }
}
devtools::install_github("YuLab-SMU/tigeR")
```

### 3. Quick Start
The workflow of tigeR is below, see more details in [tigeR documentation](https://chengxugorilla.github.io/tigeR-book/).

<p align="center">
<img src="https://raw.githubusercontent.com/Chengxugorilla/tigeR/gh-pages/figs/Figure 2.svg" width="80%">
</p>
<p align="center"><b>Overall design of tigeR</b></p>

### 4. TIGER web server
[TIGER Web Server](http://tiger.canceromics.org/#/)