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tsne_transcriptome_2d
jruffle/tsne_transcriptome_2d
tsne_transcriptome_2d is a machine learning model from jruffle. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pre-trained tsne model for transcriptomic data compression.
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Public
Updated Jan 10, 2026
Repo size
97 MB
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.joblib97 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 10, 2026
- Updated
- Jan 10, 2026
- SHA
- 8a83d3e5
Model card
From the Hugging Face model README
TSNE Model - transcriptome mode - 2D
Pre-trained tsne model for transcriptomic data compression.
Details
- Mode: transcriptome-centric compression
- Dimensions: 2
- Training data: TRACERx lung cancer transcriptomics
- Created: 2026-01-10T13:33:24.148663
Usage
import joblib
from huggingface_hub import snapshot_download
# Download model
local_dir = snapshot_download("jruffle/tsne_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
- License
- mit
- Created
- Jan 10, 2026
- Updated
- Jan 10, 2026