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MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction
Transformer-based language models are successfully used to address massive text-related tasks. DNA methylation is an important epigenetic mechanism, and its analysis provides valuable insights into gene regulation and biomarker identification. Several deep learning–based methods have been proposed t...
Autores principales: | Zeng, Wenhuan, Gautam, Anupam, Huson, Daniel H |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367125/ https://www.ncbi.nlm.nih.gov/pubmed/37489753 http://dx.doi.org/10.1093/gigascience/giad054 |
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