metadata
title: Autoencoder (Transcriptome-centric, 16D)
emoji: 🧬
colorFrom: purple
colorTo: blue
sdk: python
tags:
- transcriptomics
- dimensionality-reduction
- ae
license: mit
Autoencoder (Transcriptome-centric, 16D)
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: 16
- 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.
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