jruffle/pca_transcriptome_16d

PCA Model - transcriptome mode - 16D

Pre-trained pca model for transcriptomic data compression.

Details

• Mode: transcriptome-centric compression
• Dimensions: 16
• Training data: TRACERx lung cancer transcriptomics
• Created: 2026-01-10T15:07:30.999239

Usage

import joblib
from huggingface_hub import snapshot_download

# Download model
local_dir = snapshot_download("jruffle/pca_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