Add short English profile README

[Copilot]

Replaces the detailed 63-line README with a concise 22-line English version optimized for the organization profile page.

Changes

• Content: Condensed organization description from multiple sections to single-paragraph summary
• Projects: Converted detailed project entries to compact bullet list with emojis and HTML links
• Format: Changed from Markdown links to HTML anchor tags for better rendering on organization profile
• Focus: Removed verbose explanations, star counts, and status details

## 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)

All 6 repositories preserved with descriptions shortened to single-line summaries.

Original prompt

Create a pull request that updates the repository README.md (root README.md) to a short English version intended for the organization's profile page. The PR should create a new branch and replace the existing README.md with the exact content below. This README is designed to be concise for the organization profile and should preserve emojis and repository links.

New README.md content (exact):

LiaoWJLab

LiaoWJLab builds bioinformatics and machine-learning tools for immuno-oncology and precision oncology, focusing on predicting cancer immunotherapy responses.

Projects

• 🧬 TMEclassifier — Tumor microenvironment subtype classifier (R)
• 🫁 LIRA — Lung cancer immunotherapy response predictor (R)
• 📊 IKCscore — Immunotherapy scoring for NSCLC (R)
• 🔬 scsig — Single-cell differential feature package (R)
• 🧪 uaiscore — Urothelial carcinoma immunotherapy stratification (R)
• 🧬 FBI — Fusion Burden Index pipeline (Shell, in progress)

Focus

• Predicting immunotherapy response
• Tumor microenvironment and single-cell analysis
• Machine learning for precision oncology

License

MIT

LiaoWJLab — Immuno-Oncology & Precision Oncology

PR metadata:

• Branch name: update/readme-short-en
• Commit message: "docs: add short English profile README"
• PR title: "Add short English profile README"
• PR body: "Add a concise English README intended for the organization profile page. This PR replaces README.md with a shorter organization summary and project list 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.

Create a pull request that updates the repository README.md (root README.md) to a short English version intended for the organization's profile page. The PR should create a new branch and replace the existing README.md with the exact content below. This README is designed to be concise for the organization profile and should preserve emojis and repository links.

New README.md content (exact):

LiaoWJLab

LiaoWJLab builds bioinformatics and machine-learning tools for immuno-oncology and precision oncology, focusing on predicting cancer immunotherapy responses.

Projects

• 🧬 TMEclassifier — Tumor microenvironment subtype classifier (R)
• 🫁 LIRA — Lung cancer immunotherapy response predictor (R)
• 📊 IKCscore — Immunotherapy scoring for NSCLC (R)
• 🔬 scsig — Single-cell differential feature package (R)
• 🧪 uaiscore — Urothelial carcinoma immunotherapy stratification (R)
• 🧬 FBI — Fusion Burden Index pipeline (Shell, in progress)

Focus

• Predicting immunotherapy response
• Tumor microenvironment and single-cell analysis
• Machine learning for precision oncology

License

MIT

LiaoWJLab — Immuno-Oncology & Precision Oncology

PR metadata:

• Branch name: update/readme-short-en
• Commit message: "docs: add short English profile README"
• PR title: "Add short English profile README"
• PR body: "Add a concise English README intended for the organization profile page. This PR replaces README.md with a shorter organization summary and project list in English."

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

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