metadata
tags:
- transcriptomics
- dimensionality-reduction
- nmf
- TRACERx
license: mit
NMF Model - transcriptome mode - 16D
Pre-trained nmf model for transcriptomic data compression.
Details
- Mode: transcriptome-centric compression
- Dimensions: 16
- Training data: TRACERx lung cancer transcriptomics
- Created: 2026-01-10T13:17:16.962037
Usage
import joblib
from huggingface_hub import snapshot_download
# Download model
local_dir = snapshot_download("jruffle/nmf_transcriptome_16d")
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