---
license: agpl-3.0
tags:
- EpiATLAS
- IHEC
- epigenetics
- EpiClass
- pytorch
---
# Epigenomic Classifer - Biomaterial type

Epigenome biomaterial classifier trained on the [EpiATLAS dataset](https://ihec-epigenomes.org/epiatlas/data/).
The classes are:
- cell line
- primary cell
- primary cell culture
- primary tissue

The model is a simple dense feedforward neural network, with one hidden layer of 3000 nodes. The model was trained using PyTorch Lightning. See Github repository [labjacquespe/EpiClass](https://github.com/labjacquespe/epiclass/blob/master/src/python/epiclass/core/model_pytorch.py) for model code.

See the .o and .e files for training details. More information is also available on Comet ML, in the rabyj/epiclass project. The ID of this training run is [f42b6f4e147c4f1bbe378f3eed415099](https://www.comet.com/rabyj/epiclass/f42b6f4e147c4f1bbe378f3eed415099)

For more context, see the associated publication: [Leveraging a large harmonized epigenomic data collection for metadata prediction to validate and augment over 350,000 public epigenomic datasets](https://www.biorxiv.org/content/10.1101/2025.09.04.670545v1)