Statistical analysis for metabolomics — PCA, PLS-DA, clustering, and univariate tests.
Statistical analysis module for metabolomics data. PCA, PLS-DA, hierarchical clustering, and univariate tests.
python omicsclaw.py run met-stat --demo
output_directory/
├── report.md
├── result.json
├── statistics.csv
├── figures/
│ ├── pca_projection.png
│ └── sample_heatmap.png
├── tables/
│ └── principal_components.csv
└── reproducibility/
├── commands.sh
├── requirements.txt
└── checksums.sha256
Trigger conditions:
Chaining partners:
met-normalize — Upstream data scalingmet-diff — Parallel structural differential assessment