---
title: Autoencoder (Transcriptome-centric, 4D)
emoji: 🧬
colorFrom: purple
colorTo: blue
sdk: python
tags:
- transcriptomics
- dimensionality-reduction
- ae
license: mit
---

# Autoencoder (Transcriptome-centric, 4D)

Pre-trained Autoencoder model for transcriptomics data compression, part of the TRACERx Datathon 2025 project.

## Model Details

- **Method**: Autoencoder
- **Compression Mode**: Transcriptome-centric
- **Output Dimensions**: 4
- **Training Data**: TRACERx open dataset (VST-normalized counts)

## Usage

This model is designed to be used with the TRACERx Datathon 2025 analysis pipeline.
It will be automatically downloaded and cached when needed.

```python
import joblib

# Load the model bundle
model_data = joblib.load("model.joblib")

# Access components based on model type
# See documentation for specific usage
```

## Files

- `model.joblib`: Model bundle containing fitted model and preprocessing parameters