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

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

Abstract 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 enhan...

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Bibliographic Details
Main Authors: Yupeng Wang, Rosario B. Jaime-Lara, Abhrarup Roy, Ying Sun, Xinyue Liu, Paule V. Joseph
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Research Notes
Subjects:
Enhancer
Classification
Deep learning
DNA sequence
Cell type
Online Access:https://doi.org/10.1186/s13104-021-05518-7

Internet

https://doi.org/10.1186/s13104-021-05518-7

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