Multiomics Result Result #89 — Analysis Report
Contents
- nmf (#89) completed
1. Nmf
2026-09-21 02:18:28 · multiomics_result
NMF decomposed the integrated matrix into latent factors.
| reconstruction_error | 12381233.822941 |
|---|
nmf top features
| Component | Feature | Weight |
|---|---|---|
| Component 1 | Threonine | 6562.082156 |
| Component 1 | Tryptophan | 5457.500878 |
| Component 1 | Glycine | 5344.563369 |
| Component 1 | Valine | 5181.768061 |
| Component 1 | Phenylalanine | 4138.363356 |
| Component 1 | Serine | 739.267238 |
| Component 1 | Proline | 490.375805 |
| Component 1 | Alanine | 63.395161 |
| Component 1 | Protein_H08 | 0.220272 |
| Component 1 | Protein_J10 | 0.097666 |
nmf h heatmap
nmf w heatmap
Method & Provenance
- Method
- Multi-omics — NMF
- Engine
- Python · scikit-learn (NMF) 1.8.0
- Input dataset
- gallery — example_metabolomics.csv
- Started
- 2026-09-21 02:18:28.760895
- Permanent link
- https://cat-g-omxpert.wishartlab.com/multiomics/results/by-token/3921b1b7149041ad9892a294bbabf931
| Parameter | Value |
|---|---|
| dataset_ids | — |
| pipeline_type | nmf |
Command history
# python from sklearn.decomposition import NMF # python W = NMF(n_components=3).fit_transform(X)