metadata
tags:
- transcriptomics
- dimensionality-reduction
- classical
- TRACERx
license: mit
CLASSICAL Model - transcriptome mode - 32D
Pre-trained classical model for transcriptomic data compression.
Details
- Mode: transcriptome-centric compression
- Dimensions: 32
- Training data: TRACERx lung cancer transcriptomics
- Created: 2026-01-09T20:55:40.333646
Usage
import joblib
from huggingface_hub import snapshot_download
# Download model
local_dir = snapshot_download("jruffle/classical_transcriptome_32d")
model = joblib.load(f"{local_dir}/model.joblib")
# For classical models (PCA/UMAP):
# model contains: 'pca', 'umap', 'robust_scaler', 'gene_order'
# For TabPFN models:
# model contains: 'tabpfn_embedding', 'pca_final', 'input_scaler', etc.