SeqEnhDL: sequence-based classification of cell type-specific enhancers using deep learning models

OBJECTIVE: To address the challenge of computational identification of cell type-specific regulatory elements on a genome-wide scale. RESULTS: We propose SeqEnhDL, a deep learning framework for classifying cell type-specific enhancers based on sequence features. DNA sequences of “strong enhancer” ch...

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Detalles Bibliográficos
Autores principales: Wang, Yupeng, Jaime-Lara, Rosario B., Roy, Abhrarup, Sun, Ying, Liu, Xinyue, Joseph, Paule V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980595/
https://www.ncbi.nlm.nih.gov/pubmed/33741075
http://dx.doi.org/10.1186/s13104-021-05518-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980595/
https://www.ncbi.nlm.nih.gov/pubmed/33741075
http://dx.doi.org/10.1186/s13104-021-05518-7

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