metadata
license: agpl-3.0
tags:
- EpiATLAS
- IHEC
- epigenetics
- EpiClass
- pytorch
Epigenomic Classifer - Donor life stage
Epigenome life stage classifier trained on the EpiATLAS dataset. The classes are:
- adult
- child
- embryonic
- fetal
- newborn
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 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 91214ed0b1664395b1826dc69a495ed4
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