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README.md

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+---
+tags:
+- transcriptomics
+- dimensionality-reduction
+- nmf
+- TRACERx
+license: mit
+---
+
+# NMF Model - transcriptome mode - 64D
+
+Pre-trained nmf model for transcriptomic data compression.
+
+## Details
+- **Mode**: transcriptome-centric compression
+- **Dimensions**: 64
+- **Training data**: TRACERx lung cancer transcriptomics
+- **Created**: 2026-01-10T13:17:41.226424
+
+## Usage
+
+```python
+import joblib
+from huggingface_hub import snapshot_download
+
+# Download model
+local_dir = snapshot_download("jruffle/nmf_transcriptome_64d")
+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
+```

metadata.json

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+{
+  "model_type": "nmf",
+  "mode": "transcriptome",
+  "dimensions": 64,
+  "created": "2026-01-10T13:17:41.226695",
+  "keys": [
+    "nmf_model",
+    "input_scaler",
+    "data_shift",
+    "n_components",
+    "actual_components",
+    "method",
+    "mode",
+    "row_ids",
+    "feature_ids",
+    "robust_scaler",
+    "reference_embeddings"
+  ]
+}

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9da6781eae1a9c1854c3652268a3ad293176f2386519210cd366f5a243f99565
+size 11093442