Epigenome Assay/Target classifier trained on the EpiATLAS dataset. The classes are IHEC reference epigenome ChIP assays (7 assays: H3k27ac, H3k27me3, H3k36me3, H3k4me1, H3k4me3, H3k9me3, input)

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 69488630801b4a05a53b5d9e572f0aaa

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