Found: 5
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NanoCon: contrastive learning-based deep hybrid network for nanopore methylation detection.
- Published in:
- Bioinformatics, 2024, v. 40, n. 2, p. 1, doi. 10.1093/bioinformatics/btae046
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- Article
Predicting protein–peptide binding residues via interpretable deep learning.
- Published in:
- Bioinformatics, 2022, v. 38, n. 13, p. 3351, doi. 10.1093/bioinformatics/btac352
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- Article
Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction.
- Published in:
- Advanced Science, 2023, v. 10, n. 11, p. 1, doi. 10.1002/advs.202206151
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- Article
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations.
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- Genome Biology, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s13059-022-02780-1
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- Publication type:
- Article
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis.
- Published in:
- Nucleic Acids Research, 2023, v. 51, n. 7, p. 3017, doi. 10.1093/nar/gkad055
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- Article