Downloads · 30 days
0
ae_tracerx_16d
jruffle/ae_tracerx_16d
ae_tracerx_16d 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.
This model is part of the TRACERx Datathon 2025 transcriptomics analysis pipeline.
Access
Public
Updated Jan 8, 2026
Repo size
2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.csv12.9 MB · 73%
At a glance
- License
- mit
- Access
- Public
- Created
- Aug 27, 2025
- Updated
- Jan 8, 2026
- SHA
- 0226324a
Model card
From the Hugging Face model README
Autoencoder (TRACERx-focused, 16D)
This model is part of the TRACERx Datathon 2025 transcriptomics analysis pipeline.
Model Details
- Model Type: Autoencoder
- Dataset: TRACERx-focused
- Latent Dimensions: 16
- Compression Mode: samples
- Framework: PyTorch
Usage
This model is designed to be used with the TRACERx Datathon 2025 analysis pipeline. It will be automatically downloaded and cached when needed.
Model Architecture
- Input: Gene expression data
- Hidden layers: [input_size, 512, 256, 128, 16]
- Output: 16-dimensional latent representation
- Activation: ELU with batch normalization
Training Data
Trained exclusively on TRACERx open dataset
Files
autoencoder_16_latent_dims_oos_mode.pt: Main model weightslatent_df.csv: Example latent representations (if available)
- License
- mit
- Created
- Aug 27, 2025
- Updated
- Jan 8, 2026