[WIP] Update README.md to all-English version

[Copilot]

Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.

Original prompt

Replace the repository README.md (root README.md) with an all-English version. The user requested converting the existing README content to English and directly applying the change. Create a new branch, commit the updated README.md, and open a pull request with a clear description and commit message.

Required changes:

• Overwrite README.md in the repository root with the following English content exactly (preserve links and emojis):

LiaoWJLab

About Us

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.

Main Projects

Open-source Projects

🧬 TMEclassifier

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

In Progress

🧬 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

License

The open-source projects under this organization are licensed under the MIT License.

---

LiaoWJLab — Focused on Immuno-Oncology and Precision Oncology

Additional PR metadata:

• Branch name suggestion: update/readme-english
• Commit message: "docs: translate README.md to English"
• PR title: "Translate README.md to English"
• PR body: "This PR replaces the README.md with an English version per the owner's request. It updates project descriptions, links, and research focus to be fully in English."

Please open the pull request after committing the change. Do not assign reviewers or merge the PR automatically.

This pull request was created as a result of the following prompt from Copilot chat.

Replace the repository README.md (root README.md) with an all-English version. The user requested converting the existing README content to English and directly applying the change. Create a new branch, commit the updated README.md, and open a pull request with a clear description and commit message.

Required changes:

• Overwrite README.md in the repository root with the following English content exactly (preserve links and emojis):

LiaoWJLab

About Us

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.

Main Projects

Open-source Projects

🧬 TMEclassifier

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

In Progress

🧬 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

License

The open-source projects under this organization are licensed under the MIT License.

---

LiaoWJLab — Focused on Immuno-Oncology and Precision Oncology

Additional PR metadata:

• Branch name suggestion: update/readme-english
• Commit message: "docs: translate README.md to English"
• PR title: "Translate README.md to English"
• PR body: "This PR replaces the README.md with an English version per the owner's request. It updates project descriptions, links, and research focus to be fully in English."

Please open the pull request after committing the change. Do not assign reviewers or merge the PR automatically.

---

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.