Metabolomics data normalization, scaling and transformation.
Data normalization, scaling, and transformation for metabolomics feature tables.
python omicsclaw.py run met-normalize --demo
output_directory/
├── report.md
├── result.json
├── normalized.csv
├── figures/
│ └── normalization_boxplot.png
├── tables/
│ └── normalization_metrics.csv
└── reproducibility/
├── commands.sh
├── requirements.txt
└── checksums.sha256
Trigger conditions:
Chaining partners:
peak-detection — Upstream raw data mappingmet-diff — Downstream statistical execution