iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations

In this study, we propose iDNA-ABF, a multi-scale deep biological language learning model that enables the interpretable prediction of DNA methylations based on genomic sequences only. Benchmarking comparisons show that our iDNA-ABF outperforms state-of-the-art methods for different methylation pred...

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Detalles Bibliográficos
Autores principales: Jin, Junru, Yu, Yingying, Wang, Ruheng, Zeng, Xin, Pang, Chao, Jiang, Yi, Li, Zhongshen, Dai, Yutong, Su, Ran, Zou, Quan, Nakai, Kenta, Wei, Leyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575223/
https://www.ncbi.nlm.nih.gov/pubmed/36253864
http://dx.doi.org/10.1186/s13059-022-02780-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575223/
https://www.ncbi.nlm.nih.gov/pubmed/36253864
http://dx.doi.org/10.1186/s13059-022-02780-1

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