| tags: | |
| - transcriptomics | |
| - dimensionality-reduction | |
| - nmf | |
| - TRACERx | |
| license: mit | |
| # NMF Model - samples mode - 8D | |
| Pre-trained nmf model for transcriptomic data compression. | |
| ## Details | |
| - **Mode**: samples-centric compression | |
| - **Dimensions**: 8 | |
| - **Training data**: TRACERx lung cancer transcriptomics | |
| - **Created**: 2026-01-10T13:15:52.021135 | |
| ## Usage | |
| ```python | |
| import joblib | |
| from huggingface_hub import snapshot_download | |
| # Download model | |
| local_dir = snapshot_download("jruffle/nmf_samples_8d") | |
| model = joblib.load(f"{local_dir}/model.joblib") | |
| # For classical models (PCA/UMAP): | |
| # model contains: 'pca', 'umap', 'robust_scaler', 'gene_order' | |
| # For TabPFN models (with UMAP reduction): | |
| # model contains: 'tabpfn_embedding', 'umap_final', 'raw_embeddings', 'input_scaler', etc. | |
| # Uses UMAP instead of PCA for non-linear dimension reduction of TabPFN embeddings | |
| ``` | |