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CREATE: cell-type-specific cis-regulatory element identification via discrete embedding.
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DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction.
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Applications of transformer-based language models in bioinformatics: a survey.
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HiChIPdb: a comprehensive database of HiChIP regulatory interactions.
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SilencerDB: a comprehensive database of silencers.
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Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network.
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DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data.
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EnDisease: a manually curated database for enhancer-disease associations.
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Prediction of enhancer-promoter interactions via natural language processing.
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