Pipeline type: NMF
NMF Results
- Reconstruction error (Frobenius)
- 12381233.8229
Lower values indicate a better fit; compare across different component counts (ranks) when choosing a model.
W matrix (samples × components)
H matrix (components × features)
Top features per component
| Component 1 | |
|---|---|
| Feature | Weight |
| Threonine | 6562.0822 |
| Tryptophan | 5457.5009 |
| Glycine | 5344.5634 |
| Valine | 5181.7681 |
| Phenylalanine | 4138.3634 |
| Serine | 739.2672 |
| Proline | 490.3758 |
| Alanine | 63.3952 |
| Protein_H08 | 0.2203 |
| Protein_J10 | 0.0977 |
| Component 2 | |
|---|---|
| Feature | Weight |
| Alanine | 7370364.4339 |
| Valine | 6918706.9031 |
| Threonine | 5586383.5146 |
| Leucine | 4436833.7105 |
| Proline | 2499448.8460 |
| Glycine | 485689.9471 |
| Protein_H08 | 249.5254 |
| Protein_D04 | 241.2887 |
| Protein_C03 | 163.0115 |
| Protein_J10 | 38.6188 |
| Component 3 | |
|---|---|
| Feature | Weight |
| Proline | 6222250.8507 |
| Isoleucine | 6058447.7872 |
| Tryptophan | 6050588.3410 |
| Serine | 6029837.2782 |
| Alanine | 5988396.7549 |
| Leucine | 5757072.6396 |
| Threonine | 5568707.5743 |
| Phenylalanine | 5504302.3053 |
| Glycine | 5298494.4080 |
| Valine | 5255412.1769 |
Figures
nmf h heatmap
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nmf w heatmap
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Method & Provenance
- Method
- Multi-omics — NMF
- Method key
nmf(result type:nmf, result #89)- Engine
- Python · scikit-learn (NMF) v1.8.0
- Dataset(s)
- #720 gallery — example_metabolomics.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/multiomics/results/by-token/3921b1b7149041ad9892a294bbabf931 Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:18:28.760895
Parameters used
| Parameter | Value |
|---|---|
dataset_ids | — |
pipeline_type | nmf |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
from sklearn.decomposition import NMFW = NMF(n_components=3).fit_transform(X)