LiaoWJLab specializes in immuno-oncology and precision oncology research. We are dedicated to developing innovative tumor immunotherapy prediction tools using bioinformatics and machine learning methods.
An ensemble machine learning–based tumor microenvironment subtype classifier
- Language: R
- Applications: gastric cancer, immunotherapy, tumor microenvironment analysis
- ⭐ Stars: 7
🫁 LIRA
AI model for predicting lung cancer immunotherapy response
- Language: R
- Applications: lung cancer immunotherapy response prediction
- ⭐ Stars: 3
📊 IKCscore
Immunotherapy prediction scoring system for non–small cell lung cancer
- Language: R
- Applications: non–small cell lung cancer immunotherapy prediction
- ⭐ Stars: 2
🔬 scsig
Single-cell differential feature identification package
- Language: R
- Applications: single-cell sequencing data analysis
- ⭐ Stars: 2
🧪 uaiscore
Adjuvant immunotherapy stratification tool for urothelial carcinoma
- Language: R
- Applications: urothelial carcinoma immunotherapy stratification
🧬 FBI
Fusion Burden Index analysis pipeline
- Language: Shell
- Status: Last updated on 2025-11-15
Our research primarily focuses on:
- 🎯 Predicting responses to cancer immunotherapy
- 🔬 Tumor microenvironment analysis
- 🧬 Single-cell sequencing data analysis
- 🤖 Applying machine learning to precision oncology
- 📊 Developing bioinformatics tools
The open-source projects under this organization are licensed under the MIT License.
LiaoWJLab — Focused on Immuno-Oncology and Precision Oncology