EpiClass models
Collection
Classifier models trained on EpiATLAS dataset that were applied to ChIP-Atlas, ENCODE and recount3 datasets. (see paper)
•
6 items
•
Updated
Epigenomic Classifer - Biomaterial type
Epigenome biomaterial classifier trained on the EpiATLAS dataset. 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 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
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
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support