Individual skill

svm-model-importance-analysis

Use when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated error, and generate reproducible ranking and error plots. NOT for regression, multi-class classification, missing-value imputation, or remote data fetching.

awesome-med-research-skills/Data Analysis/svm-model-importance-analysis/SKILL.md

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Repository stars (not skill ratings): 2,047
Repository last updated: Sep 17, 2026
License: MIT

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bioinformatics Repository topic
computational-biology Repository topic
data-analysis Repository topic
ai Repository topic
biology Repository topic
cancer-genomics Repository topic
data-visualization Repository topic
differential-expression Repository topic
genomics Repository topic
medical Repository topic
engineering Derived category

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SKILL.mdcore · 7,235 bytes
SKILL.mdcore · 7,235 bytes
SKILL.mdcore · 7,235 bytes
SKILL.mdcore · 7,235 bytes
SKILL.mdcore · 7,235 bytes
eval_report_svm-model-importance-analysis_result.jsonasset · 15,693 bytes
references/algorithm.mddoc · 3,375 bytes
references/cli-guide.mddoc · 6,211 bytes
references/troubleshooting.mddoc · 2,822 bytes
scripts/cli_options.Rasset · 179 bytes
scripts/core_option_groups.Rasset · 2,571 bytes
scripts/functions.Rasset · 3,302 bytes
scripts/io.Rasset · 4,539 bytes
scripts/main.Rruns · 1,905 bytes
scripts/option_validation.Rasset · 2,157 bytes
scripts/path_utils.Rasset · 2,485 bytes
scripts/plot_option_groups.Rasset · 2,674 bytes
scripts/recording.Rasset · 182 bytes
scripts/run_analysis.Rasset · 3,676 bytes
scripts/svm_helpers.Rasset · 2,960 bytes
scripts/utils.Rasset · 1,045 bytes
scripts/validation_utils.Rasset · 658 bytes
scripts/visualization.Rasset · 1,972 bytes
tests/data/expression_matrix.csvasset · 9,337 bytes
tests/data/group_info.csvasset · 648 bytes
tests/run_tests.Rasset · 347 bytes

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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

# SVM Model Importance Analysis

## When to Read External Files

| Situation | File to Read | Purpose |
|-----------|--------------|---------|
| Need algorithm details | `references/algorithm.md` | Explain SVM-RFE ranking, cross-validation logic, assumptions, and interpretation |
| Need to execute the analysis | `scripts/main.R` | Run the CLI entry point with a complete `Rscript` command |
| Encounter an error | `references/troubleshooting.md` | Map standardized error codes to causes and fixes |
| Need CLI examples | `references/cli-guide.md` | Review installation steps and runnable CLI examples |
| Need a runnable smoke test | `tests/data/` | Use the bundled small dataset for verification |

## Usage