File size: 944 Bytes
3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 3bd07ee 6048579 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
---
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
|