Add short English profile README

README.md

@@ -1,62 +1,21 @@
 # LiaoWJLab
 
-## About Us
+LiaoWJLab builds bioinformatics and machine-learning tools for immuno-oncology and precision oncology, focusing on predicting cancer immunotherapy responses.
 
-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.
+## Projects
+- 🧬 <a href="https://github.com/LiaoWJLab/TMEclassifier">TMEclassifier</a> — Tumor microenvironment subtype classifier (R)
+- 🫁 <a href="https://github.com/LiaoWJLab/LIRA">LIRA</a> — Lung cancer immunotherapy response predictor (R)
+- 📊 <a href="https://github.com/LiaoWJLab/IKCscore">IKCscore</a> — Immunotherapy scoring for NSCLC (R)
+- 🔬 <a href="https://github.com/LiaoWJLab/scsig">scsig</a> — Single-cell differential feature package (R)
+- 🧪 <a href="https://github.com/LiaoWJLab/uaiscore">uaiscore</a> — Urothelial carcinoma immunotherapy stratification (R)
+- 🧬 <a href="https://github.com/LiaoWJLab/FBI">FBI</a> — Fusion Burden Index pipeline (Shell, in progress)
 
-## Main Projects
-
-### Open-source Projects
-
-#### 🧬 [TMEclassifier](https://github.com/LiaoWJLab/TMEclassifier)
-An ensemble machine learning–based tumor microenvironment subtype classifier
-- Language: R
-- Applications: gastric cancer, immunotherapy, tumor microenvironment analysis
-- ⭐ Stars: 7
-
-#### 🫁 [LIRA](https://github.com/LiaoWJLab/LIRA)
-AI model for predicting lung cancer immunotherapy response
-- Language: R
-- Applications: lung cancer immunotherapy response prediction
-- ⭐ Stars: 3
-
-#### 📊 [IKCscore](https://github.com/LiaoWJLab/IKCscore)
-Immunotherapy prediction scoring system for non–small cell lung cancer
-- Language: R
-- Applications: non–small cell lung cancer immunotherapy prediction
-- ⭐ Stars: 2
-
-#### 🔬 [scsig](https://github.com/LiaoWJLab/scsig)
-Single-cell differential feature identification package
-- Language: R
-- Applications: single-cell sequencing data analysis
-- ⭐ Stars: 2
-
-#### 🧪 [uaiscore](https://github.com/LiaoWJLab/uaiscore)
-Adjuvant immunotherapy stratification tool for urothelial carcinoma
-- Language: R
-- Applications: urothelial carcinoma immunotherapy stratification
-
-### In Progress
-
-#### 🧬 [FBI](https://github.com/LiaoWJLab/FBI)
-Fusion Burden Index analysis pipeline
-- Language: Shell
-- Status: Last updated on 2025-11-15
-
-## Research Focus
-
-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
+## Focus
+- Predicting immunotherapy response
+- Tumor microenvironment and single-cell analysis
+- Machine learning for precision oncology
 
 ## License
+MIT
 
-The open-source projects under this organization are licensed under the MIT License.
-
----
-
-**LiaoWJLab** — Focused on Immuno-Oncology and Precision Oncology
+**LiaoWJLab** — Immuno-Oncology &amp; Precision Oncology