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EpiClass-assay-ChIP
KatLeChat/EpiClass-assay-ChIP
EpiClass-assay-ChIP is a machine learning model from KatLeChat. 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 agpl-3.0.
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)
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Updated Jan 6, 2026
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At a glance
- License
- agpl-3.0
- Access
- Public
- Created
- Aug 6, 2025
- Updated
- Jan 6, 2026
- SHA
- a1d389b3
Model card
From the Hugging Face model README
Epigenomic Classifer - Assay (7 classes)
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
- License
- agpl-3.0
- Created
- Aug 6, 2025
- Updated
- Jan 6, 2026