Individual skill
rf-model-importance-analysis
Use when you need a standardized R CLI workflow to train a two-class random forest model from an expression-like feature matrix, rank variable importance, and generate reproducible error and importance plots. NOT for regression tasks, multi-class classification, missing-value imputation, preprocessing, or remote data fetching.
awesome-med-research-skills/Data Analysis/rf-model-importance-analysis/SKILL.md
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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
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SKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 bytesSKILL.mdcore · 10,706 byteseval_report_rf-model-importance-analysis_result.jsonasset · 15,751 bytesreferences/algorithm.mddoc · 4,652 bytesreferences/cli-guide.mddoc · 6,243 bytesreferences/troubleshooting.mddoc · 5,469 bytesscripts/cli_options.Rasset · 182 bytesscripts/core_option_groups.Rasset · 2,913 bytesscripts/functions.Rasset · 3,015 bytesscripts/io.Rasset · 4,742 bytesscripts/main.Rruns · 2,224 bytesscripts/option_validation.Rasset · 2,684 bytesscripts/path_utils.Rasset · 2,549 bytesscripts/plot_option_groups.Rasset · 5,346 bytesscripts/recording.Rasset · 182 bytesscripts/run_analysis.Rasset · 2,582 bytesscripts/utils.Rasset · 1,404 bytesscripts/validation_utils.Rasset · 658 bytesscripts/visualization.Rasset · 3,691 bytestests/data/expression_matrix.csvasset · 9,337 bytestests/data/group_info.csvasset · 648 bytestests/run_tests.Rasset · 357 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# RF Model Importance Analysis
## Quick Start
Use one of these three commands first, then consult the full argument table only if you need extra tuning.
### 1. Standard Run
```bash
Rscript scripts/main.R \
--input_file tests/data/expression_matrix.csv \
--group_file tests/data/group_info.csv \
--case_group AR \