
Estimate Immune Score Analysis
Use this skill to compute ESTIMATE immune-related microenvironment scores from a bulk...
Install
npx skills add aipoch/medical-research-skills --skill estimate-immune-score-analysis -g -a claude-code -y- Repository
- aipoch/medical-research-skills2k
- Category
- Engineering
- Updated
- 2mo ago
- License
- MIT
- Context cost
- Mediumabout 2,996 tokens
- Runs scripts
- No, instructions only
What it does
Use this skill to compute ESTIMATE immune-related microenvironment scores from a bulk expression matrix, generate an ESTIMATE score heatmap, and optionally generate group-wise ESTIMATE score boxplots plus significance tables when a sample group file is supplied. Trigger keywords: ESTIMATE, immune score, stromal score, tumor microenvironment score. NOT for: immune cell deconvolution, single-cell analysis, differential expression, clinical diagnosis.
ESTIMATE Immune Score Analysis
When to Use
Use this skill when the user wants to:
- compute ESTIMATE-derived immune and stromal scores from a bulk expression matrix
- transform an expression matrix into
estimatepackage input files and score outputs - generate an ESTIMATE score heatmap across samples
- compare ESTIMATE scores across sample groups when a sample group file is available
- create a reproducible CLI-backed ESTIMATE workflow with structured output records
Typical request patterns:
- "Run ESTIMATE immune score analysis on this expression matrix"
- "Calculate ImmuneScore and StromalScore from my bulk RNA-seq data"
- "Generate ESTIMATE scores and save a sample-level result table"
Execution Model
This is a CLI-backed analysis skill.
- Use
SKILL.mdto confirm that the task is ESTIMATE score generation from bulk expression data. - Use
scripts/main.Rfor the real execution. - Provide one expression matrix file with genes in the first column and samples in the remaining columns.
- Optionally provide a sample group file to generate ESTIMATE score boxplots and a significance summary table.
- The workflow always generates an ESTIMATE score heatmap from the computed score table.
- Read reference files only when you need algorithm details, troubleshooting, or baseline execution notes.
When to Read External Files
| Situation | File to Read | Purpose |
|---|---|---|
| Need algorithm details | references/algorithm.md | Understand the ESTIMATE scoring workflow and result interpretation |
| Need to run the skill | scripts/main.R | Execute the CLI entry point |
| Encounter errors | references/troubleshooting.md | Find standard error codes and fixes |
| Need more CLI examples or the real-data baseline record | references/cli-guide.md | Copy commands and review the recorded execution template |
| Need sample input files | tests/data/ | Use the bundled demo expression matrix |
