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---
title: Autoencoder (Transcriptome-centric, 8D)
emoji: 🧬
colorFrom: purple
colorTo: blue
sdk: python
tags:
- transcriptomics
- dimensionality-reduction
- ae
license: mit
---
# Autoencoder (Transcriptome-centric, 8D)
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**: 8
- **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
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