README.md

---
tags:
- transcriptomics
- dimensionality-reduction
- umap
- TRACERx
license: mit
---

# UMAP Model - transcriptome mode - 2D

Pre-trained umap model for transcriptomic data compression.

## Details
- **Mode**: transcriptome-centric compression
- **Dimensions**: 2
- **Training data**: TRACERx lung cancer transcriptomics
- **Created**: 2026-01-10T15:09:27.284203

## Usage

```python
import joblib
from huggingface_hub import snapshot_download

# Download model
local_dir = snapshot_download("jruffle/umap_transcriptome_2d")
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
```