iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models

MOTIVATION: Enhancers are important cis-regulatory elements that regulate a wide range of biological functions and enhance the transcription of target genes. Although many feature extraction methods have been proposed to improve the performance of enhancer identification, they cannot learn position-...

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Detalles Bibliográficos
Autores principales: Li, Jiahao, Wu, Zhourun, Lin, Wenhao, Luo, Jiawei, Zhang, Jun, Chen, Qingcai, Chen, Junjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125906/
https://www.ncbi.nlm.nih.gov/pubmed/37113248
http://dx.doi.org/10.1093/bioadv/vbad043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125906/
https://www.ncbi.nlm.nih.gov/pubmed/37113248
http://dx.doi.org/10.1093/bioadv/vbad043

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