Multiomics Result Result #87 — Analysis Report
Contents
- pca (#87) completed
1. Pca
2026-09-21 02:18:19 · multiomics_result
The first two PCs capture 29.4% of the combined multi-omics variance.
explained variance
| Component | Fraction | Cumulative |
|---|---|---|
| PC1 | 0.158399 | 0.158399 |
| PC2 | 0.135564 | 0.293964 |
| PC3 | 0.122593 | 0.416557 |
multiomics pca scatter
multiomics pca scree
pca loadings bar
Method & Provenance
- Method
- Multi-omics — PCA
- Engine
- Python · scikit-learn (PCA) 1.8.0
- Input dataset
- gallery — example_metabolomics.csv
- Started
- 2026-09-21 02:18:19.384288
- Permanent link
- https://cat-g-omxpert.wishartlab.com/multiomics/results/by-token/cf33b3a5a2614cd2b556dd9f7a646a10
| Parameter | Value |
|---|---|
| dataset_ids | — |
| pipeline_type | pca |
Command history
# python from sklearn.decomposition import PCA # python coords = PCA(n_components=2).fit_transform(X)